Die Publikation geht dem kritischen Problem des aktiven Gesichtsversagens in flachen rechteckigen Tunneln nach, die von Rectangular Tunnel Boring Machines (RTBMs) in anisotropen und inhomogenen undrainierten Tonböden gebaut wurden. Es führt einen ausgeklügelten dreidimensionalen Multiblockversagensmechanismus ein, der die bogengebogenen Effekte berücksichtigt und die Komplexität von Anisotropie und Inhomogenität bei nicht ausgebildeter Scherfestigkeit integriert. Die Studie verwendet das Theorem der Grenzwertanalyse, um einen Ausdruck in geschlossener Form zur Berechnung des kritischen Unterstützungsdrucks abzuleiten. Die Autoren validieren ihr Modell durch Vergleiche mit Finite-Elemente-Simulationen und existierenden analytischen Lösungen und zeigen seine überlegene Genauigkeit und Zuverlässigkeit. Die Forschungen beleuchten auch den erheblichen Einfluss geometrischer und geotechnischer Faktoren auf die Stabilität der Tunnelwand und liefern wertvolle Erkenntnisse für Ingenieure und Praktiker im Bereich des geotechnischen Ingenieurwesens. Die Studie schließt mit der Betonung, wie wichtig es ist, Anisotropie und Inhomogenität in Stabilitätsanalysen zu berücksichtigen, um die Sicherheit zu gewährleisten und Ressourcen in Tunnelprojekten zu optimieren.
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Abstract
As urbanization accelerates, the demand for efficient underground infrastructure has grown, with rectangular tunnels gaining prominence due to their enhanced space utilization and construction efficiency. However, ensuring the stability of shallow rectangular tunnel faces in undrained clays presents significant challenges due to complex soil behaviors, including anisotropy and non-homogeneity. This study addresses these challenges by developing a novel failure mechanism within the kinematic approach of limit analysis, integrating soil arching effects alongside anisotropic and non-homogeneous undrained shear strength. The mechanism's analytical solutions are rigorously validated against finite element simulations using PLAXIS 3D and existing models, demonstrating superior accuracy. Key findings show that the proposed model improves predictive performance for critical support pressure, with relative differences as low as 5% for wide rectangular tunnels compared to numerical simulations. Results reveal that limit support pressure decreases with increasing non-homogeneity ratios and rises with higher anisotropy factors. However, both effects diminish in wider tunnels, where increasing width in soils with high non-homogeneity and low anisotropy factors significantly enhances stability. Practical implications of this study are substantial, offering design formulas and dimensionless coefficients for estimating critical face pressures in shallow rectangular tunnels. These tools enable engineers to account for soil anisotropy and non-homogeneity, optimizing design and ensuring safety in urban environments. Furthermore, the proposed model’s applicability extends to circular tunnels, where it offers comparable accuracy. This study bridges a critical gap in understanding the stability of rectangular tunnels, providing a robust framework for tackling the challenges of modern urban construction.
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Abkürzungen
\(D\)
Tunnel face height
\(B\)
Tunnel face width
\(C\)
Cover depth of tunnel
\(\sigma_{t}\)
Support pressure
\(\sigma_{s}\)
Vertical surcharge
\(\gamma\)
Soil unit weight
\(c_{u0}\)
Horizontal undrained shear strength at the ground surface
\(\rho\)
The rate of increase in undrained shear strength with depth
\(i\)
Anisotropic angle
\(c_{u} \left( {\rho ,i} \right)\)
Anisotropic and non-homogeneous undrained shear strength
Velocity at discontinuity surface corresponding to prism i
\(\sigma_{v}\)
Uniformly distributed force
\(d_{y}\)
Thickness of a thin layer in the cover layer
\(A_{n}\)
Base area of the thin layer
\(P_{n}\)
Base perimeter of the thin layer
\(\dot{W}_{\sigma t}\)
Work rate of support pressure
\(\dot{W}_{\sigma v}\)
Work rate of uniformly distributed force
\(\dot{W}_{\gamma }\)
Work rate of soil weight
\(\dot{W}_{ext}\)
Total work rate done by external forces
\(\dot{D}_{{\text{int}}}\)
Internal energy dissipation
\(N_{\gamma }\)
Dimensionless coefficient for soil weight
\(N_{s}\)
Dimensionless coefficient for surcharge load
\(N_{cu0}\)
Dimensionless coefficient for undrained shear strength
\(N_{cui}\)
Dimensionless coefficient for anisotropy of undrained shear strength
\(N_{cu\rho }\)
Dimensionless coefficient for non-homogeneity of undrained shear strength
\(N_{cu\rho i}\)
Dimensionless coefficient for both non-homogeneity and anisotropy of undrained shear strength
1 Introduction
Urbanization is transforming the face of metropolitan areas around the world. As cities develop and populations grow, there is an ever-increasing demand for efficient, safe and sustainable underground infrastructures to accommodate them. In urban areas where there is soft ground and the overburden is relatively shallow, rectangular shield machines are employed to create various underground structures, including utility tunnels, pedestrian walkaways, and parking facilities (Khotbehsara et al. 2014; Mehdizadeh et al. 2022; He et al. 2024; Yu Huat et al. 2025). A rectangular tunnel improves space utilization ratio of the tunnel section by about 20% compared to a circular tunnel which can significantly reduce the amount of excavation required (Chen et al. 2021). Furthermore, circular tunnels must be backfilled to provide a flat base for certain infrastructure projects such as underground expressways and subways. Therefore, rectangular tunnels can lower costs and enhance construction efficiency by saving both time and resources. Vinod and Khabbaz (2019) conducted a numerical study comparing circular and rectangular tunnels to assess surface settlements induced by each type. Their findings indicate that rectangular tunnels cause less settlement than circular ones when constructed at shallow depths in soft ground conditions, making rectangular designs particularly advantageous for such environments. Recent years have seen a notable expansion and advancement in the use of rectangular tunnel boring machines (RTBMs), reflecting their growing prominence and technological evolution. The technology was developed in the 1970s in Japan. Since its development, this technology has become extensively utilized, with particularly significant adoption in China and Singapore in recent years (Mok and Ng 2021). Due to its advantages such as improving safety and time efficiency, as well as reducing traffic congestion and its minimal impact on surface structures, this technology is set to be a key player in the future development of underground spaces.
While excavating tunnels with RTBMs, it is crucial to ensure the stability of the tunnel face. If the applied face pressure is inadequate, the tunnel face may collapse, compromising the structural integrity of the excavation. It is therefore important to determine exactly what the working face pressure is when using shield machines in order to achieve optimal excavation efficiency. There have been several researchers who have conducted research on the stability of tunnel faces in the past several decades, using various approaches including analytical methods (e.g., Anagnostou and Kovári 1994; Davis et al. 1980; Leca and Dormieux 1990; Mollon et al. 2013, 2011; Seghateh Mojtahedi et al. 2021; Zhang et al. 2018a, 2018b), numerical simulations (e.g., Huang et al. 2018a; Mohammadifar et al. 2024b; Ukritchon et al. 2017; Vermeer et al. 2002; Zhang et al. 2020), and experimental investigations (e.g., Chambon and Corte 1994; Chen et al. 2013; Idinger et al. 2011; Liu et al. 2018; Mehmandari et al. 2024).
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The limit equilibrium method is a commonly employed analytical technique for assessing the stability of tunnel faces. Horn (1961) developed an early theoretical model to study tunnel face stability using the limit equilibrium method, incorporating a wedge-shaped region in front of the tunnel face subjected to vertical loading from a prism. Afterwards, Anagnostou and Kovári (1994) examined the influences and relationships between various parameters related to slurry shields and tunnel face failure, utilizing an advanced wedge-prism model. The upper-bound theorem of limit analysis is a rigorous mathematical method that has been adopted by many researchers due to its reliability and efficiency in analyzing tunnel face stability. Leca and Dormieux (1990) introduced three-dimensional failure mechanisms for face collapse and blow-out in frictional soils, employing the translational movement of rigid conical blocks to more accurately model these phenomena. As an extension of Leca's model, Soubra et al. (2008) and Mollon et al. (2009) introduced a multi-block mechanism that offered greater flexibility and realism, providing a more adaptable and accurate representation of failure mechanisms compared to Leca’s approach. The results obtained from the multi-block mechanism was found to significantly improve Leca's upper-bound solutions and were relatively consistent with the numerical simulations and centrifuge tests results.
In geotechnical engineering, there are two types of loading conditions: Drained and undrained. Drained condition refers to the situation where the soil mass is permitted to drain freely. This implies that any excess pore water pressure generated by the loading can dissipate through the soil. Drained loadings typically occur in situations where the soil is highly permeable, such as in sandy soils, or when there is sufficient time for the excess pore water pressure to dissipate (long-term condition). Conversely, in low-permeability soils and under short-term conditions, excess pore pressure cannot escape, resulting in an undrained condition. Undrained conditions are common in saturated clays where the water table is high (near the ground surface). In such conditions, the soil is analyzed in terms of total stresses, with a horizontal failure envelope (i.e., φ = 0), which means that the soil's shear strength is defined by its undrained shear strength (Budhu 2010; Das 2019). Given that tunnel face failure can happen abruptly during excavation, it is crucial to examine the stability of the tunnel face in low-permeability clays under undrained conditions. Extensive research has been carried out on tunnel face failure in undrained clays. Applying the kinematic approach of limit analysis, Davis et al. (1980) developed advanced two-dimensional and three-dimensional failure mechanisms, utilizing the translational movement of rigid blocks to thoroughly investigate the stability of tunnel faces in circular tunnels within purely cohesive soils. However, their model was overly simplistic, lacking the complexity needed to yield highly accurate results and thus requiring further refinement. Augarde et al. (2003) employed both finite element limit analysis and the upper-bound method to examine the stability of two-dimensional tunnel face in non-homogeneous clays under undrained conditions. Huang and Song (2013) investigated the same issue using a multi-rigid-block mechanism, achieving enhanced results compared to the solutions provided by Davis et al. (1980). Mollon et al. (2013) introduced two novel failure mechanisms that incorporate continuous deformation of the soil mass, providing a more detailed analysis of the face stability in circular tunnels constructed within cohesive clays. Ukritchon et al. (2017) performed a three-dimensional finite element analysis to investigate the stability of tunnel faces under undrained conditions, factoring in the effects of linearly increasing shear strength with depth. Li et al. (2019) built upon the work of Soubra et al. (2008) by introducing a multi-block failure mechanism incorporating a vertically distributed force applied to the final block, aiming to analyze the face stability of shallow tunnels within multilayered clays. The results from their model were found to align well with both existing solutions and numerical simulations conducted using FLAC3D software.
A substantial portion of research on face stability assumes soil to be homogeneous and isotropic material. In reality, however, soils often exhibit anisotropic and non-homogeneous behavior in their strength characteristics. There are many factors contributing to soil anisotropy and heterogeneity, including soil deposition, stress states and cementation bonds (Al-Karni and Al-Shamrani 2000; Lee and Rowe 1989). Ignoring anisotropy and non-homogeneity can lead to inaccurate predictions of stability and potentially catastrophic failures. This makes it important to take these factors into consideration when investigating the stability of geotechnical infrastructures. In recent years, a number of researchers have investigated tunnel face stability by integrating the effects of soil anisotropy and non-homogeneity into their models. Yang et al. (2015) developed a two-dimensional failure mechanism within the upper-bound limit analysis framework, utilizing the spatial discretization technique initially developed by Mollon et al. (2010). They examined how anisotropy and non-homogeneity influence both the support pressure and the shape of the failure mechanism in frictional-cohesive soils. Pan and Dias (2016) devised an advanced three-dimensional failure mechanism for assessing the face stability of circular tunnels in frictional-cohesive soils, effectively accounting for the effects of soil anisotropy and non-homogeneity. According to them, both anisotropy and non-homogeneity greatly affect the support pressure, particularly in weak soil layers or soils with a high cohesion. Taking into account the anisotropy and heterogeneity of undrained shear strength in clays, Huang et al. (2018b) proposed a failure mechanism featuring a shear zone coupled with a cylindrical rigid block to analyze the stability of circular tunnel faces under undrained conditions. Using a 3-D rotational failure mechanism, Li and Yang (2020) examined the tunnel face stability in two-layer soils considering anisotropy and non-homogeneity of different soil parameters. Wang et al. (2023b) investigated the face stability of circular tunnels using a double discrete method, focusing on the anisotropy of soil cohesion as well as the non-homogeneity of unit weight, cohesion, and internal friction angle.
All of the studies discussed thus far have predominantly focused on the face stability of circular tunnels. However, in practice, rectangular and square tunnels are more commonly excavated due to their distinct advantages over circular designs (Abbo et al. 2013). Despite their prevalence in the field, research on the face stability of rectangular tunnels remains relatively scarce (Song et al. 2024). The analytical models proposed by previous researchers are not directly applicable to rectangular tunnels, as the geometric differences prevent accurate estimations of limit support pressure for wide rectangular tunnels. Studies by Lai et al. (2023), Shiau et al. (2024) and Song et al. (2024) have shown that the failure mechanisms governing rectangular tunnels differ significantly from those of circular tunnels. This underscores the need for failure models tailored specifically to rectangular tunnels. Wilson et al. (2017) employed upper-bound rigid block method as well as finite element limit analysis to explore the stability of rectangular tunnels in purely cohesive soils under plane strain condition. However, since tunnel stability is inherently a three-dimensional problem, two-dimensional models are often inadequate due to oversimplification. Using spatial discretization and Terzaghi earth pressure theory, Chen et al. (2019) utilized spatial discretization in combination with Terzaghi’s earth pressure theory to introduce an enhanced failure mechanism rooted in the kinematic approach of limit analysis. Their model was designed to assess the face stability of shallow square tunnels in frictional-cohesive soils, explicitly accounting for the heterogeneity in the friction angle. However, Chen's failure model cannot be applied to purely cohesive soils under undrained conditions. Liu et al. (2021) studied face stability in rectangular tunnels within frictional-cohesive soils by proposing a two-dimensional rotational mechanism. However, a 2-D mechanism for rectangular tunnels is limited as it cannot adequately incorporate the width-to-height ratio effects. Jafari and Fahimifar (2022) conducted a comprehensive investigation into the face stability of rectangular shield-driven tunnels in undrained clays. They introduced two novel failure mechanisms specifically designed to evaluate the face pressure required to prevent both collapse and blowout scenarios. Nonetheless, their results did not achieve high accuracy when compared to numerical simulations, and the combined effects of anisotropy and non-homogeneity were not considered. (Shiau et al. 2024) investigated rectangular tunnel stability using finite element limit analysis (FELA) in cohesive soils but did not propose an analytical model or consider soil anisotropy and non-homogeneity. Wang et al. (2023a, b) examined rectangular tunnel stability in cohesive-frictional soils by introducing a 3-D rotational failure mechanism based on the discretization method; however, this model is also unsuitable for undrained clays and does not account for anisotropy or non-homogeneity. Using numerical simulations, Song et al. (2024) investigated rectangular tunnel face stability with the limit equilibrium method, exploring the effect of varying height-to-width ratios on critical support pressure.
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In purely cohesive soils, the combined influence of anisotropy and non-homogeneity on undrained shear strength have yet to be examined when assessing the face stability of rectangular tunnels. This study aims to bridge this gap by presenting a rigorous upper-bound solution for evaluating the face stability of shallow rectangular tunnels in clays exhibiting both anisotropic and non-homogeneous properties. In this study, we focus exclusively on the active failure of the tunnel face, a scenario that is more commonly encountered in practical applications. Employing the upper-bound theorem of limit analysis, an advanced three-dimensional multi-block failure mechanism is proposed. This new model integrates soil arching effects and incorporates the complexities of anisotropy and non-homogeneity in undrained shear strength, offering an enhanced framework for a more accurate and nuanced assessment of face stability in shallow rectangular tunnels. For practical implementation, we offer a closed-form expression to calculate the critical support pressure. To ensure the robustness and precision of the proposed failure mechanism, we rigorously compare the upper-bound solution results with finite element simulations and other established methods. Our model's performance is further benchmarked against existing approaches for circular tunnels, assessing its applicability to shallow circular tunnel face stability. Finally, an in-depth analysis is conducted to evaluate how various geometrical and geotechnical factors influence the stability of rectangular tunnel faces.
2 Problem Description
Figure 1 provides a schematic overview of the problem addressed in this study. We examine a rectangular tunnel, characterized by a height \(D\) and width \(B\), excavated by an RTBM beneath a cover depth \(C\) within an anisotropic and non-homogeneous purely cohesive clay. In this idealized scenario, a rigid lining is positioned in immediate proximity to the tunnel face. A uniform support pressure \(\sigma_{t}\) is applied to the tunnel face, and a uniform vertical surcharge \(\sigma_{s}\) is exerted on the ground surface. In shield tunneling, it is reasonable to assume uniform support pressure if compressed air is used to support the face (Mollon et al. 2010). The Tresca failure criterion is utilized in the analysis, which means that the soil's strength is defined by its undrained shear strength \(c_{u}\). Due to vertical soil deposition, the undrained shear strength of clays is not constant with depth. To develop a comprehensive failure model that yields accurate results, it is essential to account for the variation of undrained shear strength with depth. This study adopts a linear model for undrained shear strength variation, as illustrated in Fig. 1, which is a reasonable assumption for normally consolidated clays, as discussed by Augarde et al. (2003). The non-homogeneous undrained shear strength, represented as increasing linearly with depth, is expressed mathematically by the following formula:
$$c_{u\rho } \left( y \right) = c_{u0} + \rho y$$
(1)
Fig. 1
Schematic representation of RTBM excavation in anisotropic and non-homogeneous undrained clays
×
In this expression, \(c_{u0}\) denotes the horizontal undrained shear strength at the ground surface, \(y\) indicates the depth beneath the ground surface. The parameter \(\rho\) reflects the rate at which the undrained strength increases with depth. If \(\rho = 0\), the soil is homogeneous, exhibiting a constant shear strength throughout its depth.
Anisotropy in soil mechanics refers to the condition where a soil's mechanical properties vary depending on the direction. This characteristic is notably more common in clayey soils compared to granular soils (Das 2019). Numerous studies have delved into the anisotropy of undrained shear strength, examining how this directional variability impacts soil behavior (Casagrande and Carillo 1944; Hansen and Gibson 1949; Lee and Rowe 1989; Lo 1965). The curves illustrated in Fig. 2 describe the directional variations in undrained shear strength. Considering that \(i\) denotes the angle between the direction of the major principal stress and the vertical direction, the anisotropic undrained shear strength \(c_{ui}\) along the major principal stress direction can be represented by the following expression (Casagrande and Carillo 1944):
Changes in undrained shear strength with direction
×
In the above expression, \(c_{uh}\) and \(c_{uv}\) represent the horizontal and vertical undrained shear strengths whose maximum principal stress directions coinciding with horizontal and vertical directions, respectively. It is clear that \(c_{ui} = c_{uh} = c_{uv}\) in isotropic soils. \(c_{uh}\) and \(c_{uv}\) can be determined by geotechnical experiments. In the case of undrained clays, it is assumed that the failure surface forms an angle of \({\pi \mathord{\left/ {\vphantom {\pi 4}} \right. \kern-0pt} 4}\) with the direction of the major principal stress. This assumption is based on Tresca failure criterion and possible slip planes in purely cohesive soils as mentioned by Ding et al. (2019). Thus, the anisotropic angle \(i\) can be determined based on the geometry of the proposed failure mechanism. According to Lo (1965), the ratio of horizontal to vertical principal undrained strengths (\({{c_{uh} } \mathord{\left/ {\vphantom {{c_{uh} } {c_{uv} }}} \right. \kern-0pt} {c_{uv} }}\)) remains constant throughout the soil mass. As a convenient way to approach the problem of anisotropy, a coefficient, denoted by \(k = {{c_{uh} } \mathord{\left/ {\vphantom {{c_{uh} } {c_{uv} }}} \right. \kern-0pt} {c_{uv} }}\), is introduced to be as a representative of the degree of anisotropy in soil. Various studies have reported different ranges for the parameter k. Lo (1965) identified values between approximately 0.6 and 1.3, while Davis and Booker (1973) found a range from 0.75 to around 1.56. Additionally, Lee and Rowe (1989) determined that k varies from 0.77 to 1.27 across different soil types. In this study, the considered range for k is from 0.6 to 1.4. According to Lee and Rowe (1989), \(k < 1\) pertains to normally or lightly overconsolidated clays, \(k > 1\) represents highly overconsolidated clays, and a value of \(k = 1\) denotes isotropic soil conditions. Consequently, Eq. (2) can be reformulated as:
It is assumed that \(c_{u0}\) represents the horizontal principal undrained shear strength at the ground surface. Thus, by substituting Eq. (1) into Eq. (3) the expression for undrained shear strength accounting for both anisotropy and non-homogeneity can be derived as follows:
To thoroughly evaluate the face stability of rectangular tunnels in non-homogeneous and anisotropic undrained clays, nine essential variables \(\left\{ {\sigma_{t} ,\sigma_{s} ,c_{u0} ,\rho ,k,\gamma ,C,B,D} \right\}\) need to be considered. Dimensional analysis is a powerful tool for simplifying intricate problems by reducing them to fundamental dimensions. This technique is used to derive seven dimensionless parameters, which are as follows:
Under undrained conditions, Davis et al. (1980) suggested that the two parameters \({{\sigma_{t} } \mathord{\left/ {\vphantom {{\sigma_{t} } {c_{u} }}} \right. \kern-0pt} {c_{u} }}\) and \({{\sigma_{s} } \mathord{\left/ {\vphantom {{\sigma_{s} } {c_{u} }}} \right. \kern-0pt} {c_{u} }}\) could be combined into one parameter, denoted as \({{\left( {\sigma_{s} - \sigma_{t} } \right)} \mathord{\left/ {\vphantom {{\left( {\sigma_{s} - \sigma_{t} } \right)} {c_{u} }}} \right. \kern-0pt} {c_{u} }}\). As a result, the face stability analysis is governed by five dimensionless parameters: load parameter \({{\left( {\sigma_{s} - \sigma_{t} } \right)} \mathord{\left/ {\vphantom {{\left( {\sigma_{s} - \sigma_{t} } \right)} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\), soil unit weight ratio \({{\gamma D} \mathord{\left/ {\vphantom {{\gamma D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\), cover depth ratio \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\), width ratio \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\), non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) and anisotropy factor \(k\). To streamline the evaluation of tunnel face stability in purely cohesive soils, Broms and Bennermark (1967) proposed the use of a stability number \(N\), which is defined as follows:
Analytical methods have become an indispensable tool in geotechnical engineering, particularly when it comes to assessing the stability of various structures. Owing to its precision and robust framework, the limit analysis method has gained more attention from researchers compared with the limit equilibrium and slip line methods. Chen (1975) utilized both the lower-bound and upper-bound theorems of limit analysis to systematically study and evaluate the stability of various geotechnical structures. This study employs the upper-bound technique of limit analysis to rigorously examine the face stability of rectangular tunnels. The upper-bound method of limit analysis states that by equating the rate of work done by external forces to the rate at which internal energy is dissipated within a kinematically feasible failure mechanism, one can establish an upper bound for the real failure load (Chen 1975). The pressure applied to the tunnel face counteracts the forces driving active failure, functioning as a negative load by resisting soil movement. Consequently, the upper bound on the failure load derived from this method will either be less than or equal to the real load needed to maintain stability. The key to effectively applying the upper-bound method is to identify a failure mechanism that closely aligns with both experimental data and numerical simulations. This approach ensures that the computed collapse pressure is the highest possible upper bound, providing a value that closely approximates the true failure load.
3.1 New Failure Mechanism
It is widely recognized that tunnel excavation can induce stress changes in the surrounding soil, which can result in a phenomenon known as soil arching. As Terzaghi (1943) explained, the arching effect helps to transfer some pressure from the yielded areas of soil mass above the tunnel to adjacent areas that are still intact. Several studies have considered the arching effect in their failure models using both limit equilibrium (e.g., Anagnostou 2012; Broere 2001; Chen et al. 2015) and limit analysis (e.g., Han et al. 2016; Li et al. 2019; Zhang et al. 2015) methods. Experimental investigations (Chambon and Corte 1994; Chen et al. 2013; Idinger et al. 2011) and numerical studies (Zhang et al. 2015) of tunnel face stability in frictional soils consistently show that the failure mechanism displays different behaviors in its upper and lower sections. In the upper region (referred to here as the overburden layer), a distinct arching zone forms, which contrasts with the behavior observed in the lower section (referred to here as the excavation layer). Utilizing both centrifuge testing and advanced numerical simulations, Lee et al. (2006) conducted a thorough investigation into tunnel stability and the associated arching effects during excavation in undrained clays. Their research aimed to define the extents of arching zones, offering a deeper understanding of the failure mechanisms in these soils. Their results indicate that the impact of arching is more pronounced in shallow tunnels than in deeper ones. Considering soil arching is essential for accurately determining the critical face pressure in collapse cases (Chen et al. 2013). Consequently, this study incorporates the effect of soil arching into the new failure model to provide a more precise estimate of the critical support pressure.
An innovative three-dimensional failure mechanism is introduced, building upon the approaches developed by Soubra et al. (2008) and Jafari and Fahimifar (2022). This mechanism is designed to analyze the face stability of shallow rectangular tunnels within anisotropic and non-homogeneous purely cohesive soils, specifically for the collapse case. Figure 3 presents detailed three-dimensional and two-dimensional views of the newly developed failure mechanism As illustrated in Fig. 3, the newly proposed failure mechanism features a dual-component structure: a translational multi-block failure mechanism in the excavation layer and a prism-shaped component in the overburden layer to capture the soil arching effect. Huang et al. (2018a) emphasized that, given the dominance of frictional energy dissipation in shallow tunnels, the multi-block mechanism is particularly advantageous for shallow tunnels in undrained clays, outperforming continuous failure models in this context. The multi-block failure component in the excavation layer consists of \(n\) rigid triangular prisms, each with rectangular lateral surfaces. This configuration ensures that the failure zone fully encompasses the entire tunnel face, thereby avoiding issues of partial contact between the tunnel face and the failure zone. This design improves upon earlier models (Leca and Dormieux 1990; Mollon et al. 2009; Soubra et al. 2008), which struggled with incomplete coverage. The multi-block failure part for the excavation layer is characterized by \(n\) prisms, each defined by two angles, \(\alpha_{i}\) and \(\beta_{i}\). These angles govern the orientation of each prism, with the constraint that \(\sum\nolimits_{i = 1}^{n} {\alpha_{i} = {\pi \mathord{\left/ {\vphantom {\pi 2}} \right. \kern-0pt} 2}}\). This angle-based flexibility allows each prism to assume various shapes, thereby enabling the construction of a diverse range of kinematically feasible collapse mechanisms. In limit analysis, the normality flow rule dictates that the angle between the velocity directions of the blocks and the discontinuity surfaces should correspond to the soil's friction angle. In the case of undrained clays that follow the Tresca failure criterion, the friction angle is equal to zero. This means that the velocity directions of the blocks must be oriented parallel to the discontinuity surfaces. The proposed mechanism is entirely characterized by \(2n\) angular parameters \(\alpha_{1} ,\alpha_{2} ,...,\alpha_{n} ,\beta_{1} ,\beta_{2} ,...,\beta_{n}\), where \(n\) represents the number of rigid blocks. In the proposed failure mechanism, the overburden layer is modeled using Terzaghi’s arching theory to represent the redistribution of stresses above the tunnel face. Specifically, the failure zone within the overburden layer is assumed to be vertical, and a right rectangular prism is utilized to capture this behavior. The equilibrium conditions within the prism are derived based on vertical stress distributions, with adjustments made to account for the anisotropic and non-homogeneous properties of the soil. This allows the model to accurately quantify the effect of soil arching on the critical support pressure required to prevent collapse.
Fig. 3
Detailed views of the newly developed failure mechanism: a three-dimensional; b two-dimensional
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3.2 Upper-Bound Analysis
3.2.1 Geometric Characteristics of the Lower Failure Part
The multi-block failure model is implemented for the excavation layer. For ease of calculation, the lines \(AB_{1} ,AB_{2} ,...,AB_{n - 1} ,AB_{n}\) and \(B_{1} B_{2} ,B_{2} B_{3} ,...,B_{n - 2} B_{n - 1} ,B_{n - 1} B_{n}\) are labeled as \(x_{0} ,x_{1} ,...,x_{n - 1} ,x_{n}\) and \(y_{1} ,y_{2} ,...,y_{n - 1} ,y_{n}\), respectively, as shown in Fig. 4. The prism positioned closest to the tunnel face is designated as block 1, while the prism subjected to the distributed force is identified as block n. The following formulas can be used to calculate the length of the prism edges:
Detailed 2D view of the multi-block failure section, illustrating its geometric characteristics
×
Note that in Eqs. (7) and (8), as well as in all subsequent equations, \(x_{0} = D\) and \(\alpha_{0} = 0\). The volumes of the prisms, denoted as \(V_{i}\), along with the areas of their bases, denoted as \(S_{i}\), are determined using the following formulas:
Block i moves across its corresponding discontinuity surface at a velocity denoted by \(v_{i}\). The relative motion between neighboring blocks i and \(i + 1\) is represented as \(v_{i,i + 1}\). Based on the velocity diagram depicted in Fig. 5, the relation between these velocities can be expressed as follows:
Velocity diagram corresponding to the multi-block failure part
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3.2.2 Uniformly Distributed Force in the Overburden Layer
In this analysis, the upper failure region within the overburden layer is modeled as a right rectangular prism, representing the redistributed stresses above the tunnel face due to soil arching. This region is subjected to a uniformly distributed vertical force, denoted as \(\sigma_{v}\), which acts on the top surface of the final triangular prism in the multi-block failure mechanism. Terzaghi’s arching theory is employed to model this redistribution of stresses, capturing the interaction between the yielded soil mass and the stationary soil. This theory is further extended to incorporate the effects of anisotropy and non-homogeneity of the undrained shear strength into the soil arching calculations. The equilibrium condition for a thin soil layer of infinitesimal thickness within the prism is derived by considering the vertical force balance, which includes the weight of the soil layer, the resistive shear force along its perimeter, and the normal stress on its top and bottom surfaces. Figure 6 illustrates these forces acting on a thin soil layer of infinitesimal thickness \(dy\), and the corresponding equilibrium equation for vertical forces is formulated as follows:
where \(A_{n}\) and \(P_{n}\) are the area and perimeter of the base of thin layer and can be calculated as:
$$A_{n} = x_{n} B$$
(14)
$$P_{n} = 2(x_{n} + B)$$
(15)
Fig. 6
Schematic representation of the forces acting on a thin layer of infinitesimal thickness
×
It should be noted that in undrained clays, the shear force \(\tau\) is directly characterized by the undrained shear strength \(c_{u} \left( {\rho ,i} \right)\), which varies based on the anisotropic and non-homogeneous properties of the soil. These properties are described in detail in Sect. 2, where Eq. (4) defines \(c_{u} \left( {\rho ,i} \right)\) as a function of both the depth and the direction of the principal stresses. By substituting Eq. (4) into Eq. (13), the anisotropic and non-homogeneous variations in \(c_{u} \left( {\rho ,i} \right)\) are integrated into the equilibrium equation for the thin soil layer. This integration ensures that the derived expression for \(\sigma_{v}\) fully captures the influence of these properties on the redistribution of stresses due to soil arching. Applying the boundary condition of \(\left( {y = 0\left| {\sigma_{v} = \sigma_{s} } \right.} \right)\) allows for solving the differential equation to yield the following expression for \(\sigma_{v}\):
Since the lateral surfaces of the rectangular prism in the overburden layer are vertical, the anisotropic angle \(i\) is equal to \({\pi \mathord{\left/ {\vphantom {\pi 4}} \right. \kern-0pt} 4}\). Finally, we can derive the uniformly distributed load exerted on the final prism by considering \(y = C\) as follows:
The upper-bound theorem provides a framework for deriving the work equation by equating the rate of internal energy dissipation with the work done by external forces. This equation allows for the calculation of the collapse load by optimizing the failure mechanism according to its unknown parameters (Chen 1975). For the current analysis, the external forces include the support pressure \(\sigma_{t}\), the uniformly distributed force \(\sigma_{v}\) and the weight of soil blocks in the excavation layer. The expressions for these forces is given as follows:
where \(W_{ext}\) denotes the total work performed by mentioned forces. After performing the necessary mathematical operations, Eq. (19) can be reformulated as:
The internal energy dissipation within the multi-block failure zone occurs along the discontinuity surfaces and can be divided into the following four distinct sections:
where \(\dot{D}_{{\text{int}}}\) is the total rate of internal energy dissipation and \(i_{1}\) and \(i_{2}\) represent the angles between the vertical direction and the maximum principal stresses acting on the failure surfaces \(B_{i} B_{i}^{\prime } B_{i + 1}^{\prime } B_{i + 1}\) and \(AA^{\prime}B_{i}^{\prime } B_{i}\), respectively. Figure 7 provides detailed schematic diagrams for determining these anisotropic angles. For vertical surfaces, such as \(AB_{1} B_{2}\), the anisotropic angle is equal to \({\pi \mathord{\left/ {\vphantom {\pi 4}} \right. \kern-0pt} 4}\).
Fig. 7
Schematic representation of anisotropic angle calculation: a\(i_{1}\) at \(B_{i} B_{i}^{\prime } B_{i + 1}^{\prime } B_{i + 1}\) discontinuity surface and b\(i_{2}\) at \(AA^{\prime}B_{i}^{\prime } B_{i}\) discontinuity surface
×
In Eqs. (25) and (26), \(Cy_{i}\), \(Cx_{i}\) and \(CS_{i}\) correspond to the vertical distances from the centroids of various faces of the prisms to the ground surface. Figure 8 provides an example of these distances specifically for Block 1. These distances for the different faces of all blocks can be determined using the following expressions:
Here, \(N_{s}\), \(N_{\gamma }\), \(N_{cu0}\), \(N_{cui}\), \(N_{cu\rho }\) and \(N_{cu\rho i}\) are dimensionless coefficients that account for various factors affecting the support pressure. These coefficients reflect the impact of possible surcharge load, soil weight, undrained shear strength of the soil, anisotropy of undrained shear strength, non-homogeneity of undrained shear strength and both anisotropy and non-homogeneity of undrained shear strength on support pressure, respectively. The specific formulas for these dimensionless coefficients are given below:
We can determine the best upper-bound estimate for limit support pressure by maximizing \(\sigma_{t}\) in Eq. (33), considering the parameters \(\alpha_{i}\) and \(\beta_{i}\) that need to be determined. This optimization process is carried out using the fmincon tool in Matlab software. The precision of the limit collapse pressure is significantly influenced by the number of blocks within the excavation layer. While increasing the number of blocks typically enhances the upper-bound solution, the improvement becomes marginal (less than 1%) once the number of blocks exceeds five. Therefore, this paper restricts the analysis to five blocks for the lower part of the new model.
3.2.4 Design Formulas for Dimensionless Coefficients
To effectively apply the proposed failure mechanism for calculating limit support pressure, it is essential to establish a set of design formulas for the dimensionless coefficients. From Eq. (34g), it is clear that coefficient \(N_{\gamma }\) depends solely on the cover depth ratio. In contrast, coefficients \(N_{cu0}\), \(N_{cui}\), \(N_{cu\rho }\) and \(N_{cu\rho i}\) are influenced by both the cover depth and width ratios, as shown in Eqs. (34c)–(34f). Figures 9 and 10 illustrate how these dimensionless coefficients vary with the cover depth ratio. A linear regression approach, as shown in Fig. 9, is employed to derive coefficient \(N_{\gamma }\). Since there is no single function that describes coefficients \(N_{cu0}\), \(N_{cui}\), \(N_{cu\rho }\) and \(N_{cu\rho i}\) due to their dependence on both cover depth and width ratios, these coefficients are derived using a third-order polynomial regression for each specific value of \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) as follows:
Relationship between dimensionless coefficient \(N_{\gamma }\) and cover depth ratio
Fig. 10
Relationship between dimensionless coefficients and cover depth ratio: a\(N_{cu0}\); b\(N_{cui}\); c\(N_{cu\rho }\); d\(N_{cu\rho i}\)
×
×
The coefficients \(B_{0}\), \(B_{1}\), \(B_{2}\) and \(B_{3}\), derived from regression analysis, are listed in Tables 3 and 4 of Appendix A for practical use. For values of the \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) ratio that fall between those specifically tabulated, these coefficients can be precisely determined through non-linear interpolation. With the dimensionless coefficients (\(N_{cu0}\), \(N_{cui}\), \(N_{cu\rho }\), \(N_{cu\rho i}\) and \(N_{\gamma }\)) determined, one can then compute the limit support pressure \(\sigma_{t}\) and stability number \(N\) using Eqs. (33) and (6).
After conducting geotechnical investigations and determining the ground's characteristics, the design formulas provided in this paper can serve as a valuable tool for making an initial estimation of the required support pressure before excavation begins. The proposed model is particularly suited for analyzing the face stability of rectangular tunnels with shallow cover depths, taking into account the effects of soil anisotropy and non-homogeneity. To facilitate practical application, the proposed failure mechanism is accompanied by a flowchart presented in Fig. 11, which outlines a streamlined process for calculating the limit support pressure and stability number. This flowchart is designed to make the methodology accessible and user-friendly for engineers, enabling efficient integration into the early stages of tunnel excavation. By offering a structured approach, the proposed model can aid in ensuring safety and optimizing resources during tunnel construction in complex soil conditions.
Fig. 11
Flowchart streamlining the calculation of limit support pressure and stability number for practical application
×
4 Finite Element Simulation
Finite element analysis (FEA) has emerged as a pivotal technique for solving complex stability problems in geotechnical engineering, providing detailed insights into intricate structural behaviors. In this research, we utilize PLAXIS 3D CONNECT Edition V21, a premier commercial software extensively adopted in the field, to evaluate the face stability of rectangular tunnels embedded in purely cohesive soils and to validate the proposed failure mechanism. Recognizing the symmetrical nature of rectangular tunnels, the numerical model is constructed for half of the tunnel's cross-section to enhance computational efficiency. The soil is modeled as an elastic-perfectly plastic material, following the Tresca failure criterion. To enhance computational efficiency, we select a Young’s modulus of 500cu and a Poisson's ratio of 0.495. This high modulus is chosen to speed up calculations while minimizing its impact on the limit support pressure (Vermeer et al. 2002). In the simulations, we implement the following boundary conditions: the base of the model is fully constrained to prevent displacement; the ground surface is allowed unrestricted movement in all directions to represent natural surface behavior; and the vertical boundaries are constrained to prevent any horizontal displacement, ensuring accurate representation of tunnel interactions with the surrounding soil.
Figure 12 presents a detailed illustration of the meshed model for a square tunnel in PLAXIS software. To ensure high precision, the mesh is meticulously refined in front of the tunnel face, where failure is anticipated to occur. The dimensions of the numerical models are chosen to be sufficiently large to ensure that the failure pattern is not influenced by the boundaries of the model. Optimal dimensions for the models are determined through a systematic approach, with minimal changes in results observed even with larger dimensions. While typical tunnel excavation is represented through staged construction in PLAXIS software, this study focuses solely on analyzing face stability and displacement. As a result, the model assumes the tunnel is “pre-installed”, with excavation, lining, and face pressure application treated as a single-phase process. This approach simplifies the analysis and aligns with methods employed in previous studies (Ukritchon et al. 2017; Vermeer et al. 2002).
Fig. 12
Detailed illustration of the meshed model used in numerical simulations
×
A uniform initial support pressure, similar to that applied when using compressed air shields, is imposed on the tunnel face. To determine the critical support pressure, a stress-controlled method is employed. In this procedure, tunnel face failure is simulated by incrementally lowering the applied support pressure until collapse is observed. With each reduction, the tunnel face’s deformation is carefully tracked. Following the methodology suggested by Vermeer et al. (2002), displacements at several points along the tunnel face are recorded, with the point experiencing the greatest displacement identified as the control point. Figure 13 illustrates a representative curve showing how face support pressure varies with the horizontal displacement at the control point. As the support pressure decreases, the control point's displacement grows progressively larger. This continues until a critical threshold is reached, where even a marginal reduction in pressure results in a sharp rise in displacement. At this critical juncture, the pressure–displacement curve flattens, nearing a horizontal line, signifying the onset of tunnel face failure. The corresponding support pressure at this point is identified as the critical collapse pressure. To accurately pinpoint this pressure, extensive numerical simulations are conducted, refining the results and ensuring precision in identifying the critical collapse pressure. Figure 14 presents shadings of incremental displacements at the moment of failure, derived from our numerical results. The incremental displacements at failure serve as valuable indicators for observing potential failure mechanisms. The figure demonstrates that failure initiates at the tunnel face and propagates upward toward the ground surface, developing a chimney-like failure pattern. This behavior is consistent with earlier findings from other numerical investigations (Huang et al. 2018a; Li et al. 2019; Ukritchon et al. 2017). The control point, identified as the location experiencing the greatest displacement, is positioned below the center of the tunnel face. Furthermore, it is noteworthy that the failure zone is precisely confined within the refined mesh area, ensuring the precision and reliability of the results.
Fig. 13
Variation of face support pressure and horizontal displacement of the control point
Fig. 14
Shadings of the displacement increments at the moment of failure
×
×
5 Results
5.1 Comparison with Numerical Simulations and Existing Analytical Solutions
To demonstrate the accuracy and effectiveness of the new failure mechanism, we conducted a comparison with results from finite element simulations and the study by Jafari and Fahimifar (2022). Our analysis focused on three representative rectangular tunnels with heights of \(D = 10\;{\text{m}}\) and width ratios of 1, 1.5 and 2, using isotropic and homogeneous soil (i.e., \(k = 1\) and \(\rho = 0\)) characterized by a unit weight of 18 kN/m3 and undrained shear strengths (\(c_{u0}\)) of 20 kPa and 30 kPa. Figure 15 illustrates how the limit support pressure varies with different cover depth ratios. The comparison reveals that the new mechanism provides limit support pressure estimates that are highly consistent with those obtained from numerical simulations and offer significant improvements over the results reported by Jafari and Fahimifar (2022). The key distinction of the new mechanism over Jafari's M1 mechanism is its incorporation of the soil arching effect in the overburden layer, a factor that markedly improves the results. Furthermore, it is evident that in shallow tunnels, the new multi-block mechanism offers superior results compared to Jafari’s M2 model, which is based on continuous deformation of soil. Table 1 presents the relative differences in limit support pressures between the new mechanism and numerical simulations for all cases. For square tunnels with \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1\), relative differences range from approximately 6–8% for \(c_{u0} = 20{\text{ kPa}}\) and from 10 to 20% for \(c_{u0} = 30\;{\text{kPa}}\), the latter being more pronounced. As the width-to-depth ratio increases to \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1.5\), the accuracy improves, with relative differences reduced to less than 7% in all cases. Notably, when \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 2\), the results are particularly robust, with relative differences consistently below 5%. These findings indicate that as the tunnel width increases, the proposed model’s accuracy improves significantly.
Fig. 15
Comparison of limit support pressures for homogeneous soils: new mechanism versus numerical simulations and existing approaches
Table 1
Relative differences in limit support pressures for homogeneous soils: numerical simulations versus proposed mechanism
Case
Parameters
Limit support pressure (kPa)
C/D
cu0 (kPa)
B/D
Numerical simulation
Proposed mechanism
Relative difference (%)
1
0.5
20
1
78.23
71.82
8.19
2
0.75
105.19
98.06
6.77
3
1.0
133.29
125.00
6.21
4
1.25
163.35
152.58
6.59
5
1.5
196.24
180.64
7.94
6
0.5
30
22.41
17.73
20.88
7
0.75
38.85
34.59
10.96
8
1.0
58.76
52.50
10.65
9
1.25
81.44
71.37
12.36
10
1.5
108.48
90.96
16.15
11
0.5
20
1.5
94.79
88.54
6.59
12
0.75
125.14
118.65
5.18
13
1.0
158.65
149.52
5.75
14
1.25
191.63
180.98
5.55
15
1.5
224.15
212.89
5.02
16
0.5
30
45.49
42.81
5.89
17
0.75
66.00
65.48
< 1
18
1.0
92.41
89.29
3.3
19
1.25
119.04
113.97
4.25
20
1.5
146.67
139.33
5.00
21
0.5
20
2
101.96
97.00
4.86
22
0.75
133.31
129.16
3.11
23
1.0
165.40
162.02
2.04
24
1.25
199.83
195.44
2.19
25
1.5
235.22
229.31
2.51
26
0.5
30
57.22
55.50
3.00
27
0.75
82.00
81.24
< 1
28
1.0
108.22
108.03
< 1
29
1.25
136.13
135.66
< 1
30
1.5
165.46
163.96
< 1
×
To validate the proposed mechanism for non-homogeneous soils, a comprehensive comparison was conducted between numerical simulations and the proposed model across various non-homogeneity ratios. Figure 16 illustrates the variation of limit support pressure with increasing non-homogeneity ratios for the case where \(D = 10\;{\text{m}}\), \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 1\), \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1,{ 1}{\text{.5 and 2}}\), \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0 - 1\), \(\gamma = 18\;{\text{kN/m}}^{3}\) and \(k = 1\). The results show that as the non-homogeneity ratio increases, the limit support pressure decreases linearly for both the numerical simulations and the proposed model. The alignment between the proposed mechanism and the simulations is consistently strong; however, the rate of reduction in support pressure is slightly lower for the proposed model compared to the numerical simulations. For lower non-homogeneity ratios, the limit support pressures predicted by the proposed model are slightly below those obtained from numerical simulations, whereas for higher ratios, the model predicts slightly higher values. Table 2 presents the relative differences in limit support pressures between the proposed mechanism and the numerical simulations, with differences consistently remaining below 9% across all cases. Additionally, Fig. 16 includes results from Huang et al., (2018b)’s model for circular tunnels in non-homogeneous soils, allowing for a direct comparison with the current study’s results for square tunnels (\({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1\)). The findings indicate that the proposed mechanism predicts higher limit support pressures than Huang et al. (2018b)'s model. This discrepancy can be attributed to the fact that the current model is specifically tailored for shallow tunnels, where it performs more effectively than Huang et al. (2018b)’s model. Moreover, circular tunnels inherently benefit from greater soil arching effects, which enhance their stability and thus require lower support pressures compared to square tunnels.
Fig. 16
Comparison of limit support pressures for non-homogeneous soils: new mechanism versus numerical simulations and existing approaches
Table 2
Relative differences in limit support pressures for non-homogeneous soils: numerical simulations versus proposed mechanism
Case
Parameters
Limit support pressure (kPa)
ρD/cu0
B/D
Numerical simulation
Proposed mechanism
Relative difference (%)
1
0
1
171.21
161.25
5.81
2
0.25
141.15
134.93
4.4
3
0.5
111.02
108.77
2
4
0.75
81.24
82.74
− 1.8
5
1.0
52.10
56.71
− 8.84
6
0
1.5
186.63
179.64
3.74
7
0.25
160.77
156.97
2.36
8
0.5
134.17
134.48
− 0.2
9
0.75
107.72
112.10
− 4.06
10
1.0
82.42
89.73
− 8.86
11
0
2
193.14
189.01
2.13
12
0.25
169.94
168.19
1.02
13
0.5
146.12
147.57
− 1
14
0.75
122.24
127.03
− 3.91
15
1.0
98.72
106.56
− 7.94
×
5.2 Comparison with Previous Solutions for Circular Tunnels
A comparative analysis is performed between the stability numbers \(N\) predicted by the new failure mechanism and those derived from previous models for circular tunnels. Circular tunnels are often approximated with a rectangular face, as prior studies have shown this approach aligns well with numerical simulations and experimental results (Anagnostou 2012; Anagnostou and Kovári 1996, 1994; Chen et al. 2015; Liu et al. 2018). In this analysis, the circular cross-section is approximated by a square with an equivalent area. Figure 17 presents a comparison of the stability numbers derived from the new mechanism and previous solutions for homogeneous, isotropic, weightless, and purely cohesive soil. For shallow tunnels when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} < 1.5\), the proposed mechanism consistently provides superior (lower) solutions compared to other upper-bound methods. At \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 0.5\), the stability number closely aligns with the FEA results by Huang et al. (2018b). However, as \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\) increases, the results diverge from Huang et al. (2018b)’s outcomes. Compared to FEA results by Ukritchon et al. (2017), the proposed mechanism outperforms when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} < 1\), but yields higher results when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} > 1\). For deeper tunnels when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} > 1.5\), the results of the proposed mechanism are higher than those of Huang et al. (2018b) and diverge further from numerical simulations. As \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\) increases beyond 2, the results become higher than those of Zhang et al. (2020), indicating a growing divergence and reduced accuracy. This behavior is well-explained by Huang et al. (2018a): in shallow tunnels, the failure zone reaches the ground surface, where the magnitude of velocity field is pronounced, allowing multi-block models to capture this phenomenon effectively. Conversely, for deeper tunnels, the failure zone remains concentrated around the tunnel face with reduced velocity field magnitude at the ground surface. As a result, multi-block models become less accurate, indicating a limitation of the proposed mechanism for deeper tunnels. Thus, the new model demonstrates superior efficiency and accuracy for shallow tunnels (\({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} < 1.5\)), making it particularly effective for evaluating the stability of tunnel faces in such conditions. Interestingly, the solutions from Mollon et al. (2010) show a similar trend to those of the proposed mechanism. However, the proposed approach results in slightly lower values, attributed to its consideration of the soil arching effect.
Fig. 17
Comparison of stability numbers: proposed mechanism versus existing approaches for circular tunnels in undrained clays
×
Figure 18 compares the stability numbers derived from existing solutions for circular tunnels with those of the present study for non-homogeneous, weightless clays (\(\gamma = 0\)). The non-homogeneity ratio ranges from 0 to 1, and three cover depth ratios (\({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 0.5, \, 3{\text{ and 5}}\)) are considered. The figure illustrates that the stability number increases as the non-homogeneity ratio rises, indicating improved tunnel face stability in soils with higher degrees of non-homogeneity. The numerical results from this study for square tunnels closely align with the numerical results of Huang et al. (2018b) for circular tunnels. In all cases, the present numerical results are lower than those of Huang et al. (2018b), particularly when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = {5}\). This difference is reasonable because circular tunnels benefit from a more pronounced soil arching effect, which transfers a greater proportion of the pressure above the tunnel to the adjacent non-yielded soil, thereby increasing the stability of the tunnel face and resulting in higher stability numbers. For shallow tunnels with \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 0.{5}\), the stability numbers obtained from the proposed mechanism closely align with numerical simulations and are lower than the results of the two other analytical approaches by Huang et al. (2018b) and Zhang et al. (2018b). Furthermore, the difference between the proposed model's results and those of numerical simulations becomes more pronounced as the non-homogeneity ratio increases, suggesting that the proposed model performs better when the non-homogeneity ratio is lower. However, as the tunnel depth increases, the results from the proposed mechanism begin to diverge from the numerical results, eventually exceeding those of Huang et al. (2018b) for deeper tunnels. These findings suggest that while the proposed mechanism is highly effective for shallow tunnels in non-homogeneous clays, its accuracy diminishes for deeper tunnels, highlighting a limitation of the current approach.
Fig. 18
Comparison of stability numbers: present study versus existing approaches for circular tunnels in non-homogeneous undrained clays
×
6 Discussion
This section delves into the influence of various geometrical and geotechnical parameters on the stability of rectangular tunnel faces. We also investigate the effects of non-homogeneity and anisotropy on the feature of the proposed failure mechanism.
6.1 Effect of Non-homogeneity
We explore how non-homogeneous undrained shear strength affects the face stability of rectangular tunnels. Figure 19 illustrates how the limit support pressure varies with the non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) for the case \(D = 10\;{\text{m}}\), \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 1\), \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1 - 4\), \(c_{u0} = 20\;{\text{kPa}}\), \(\gamma = 18\;{\text{kN/m}}^{3}\) and \(k = 0.6 - 1.4\). In Fig. 19a, a linear decrease in limit support pressure is observed as \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) increases, with a more pronounced effect at lower k values. For example, at \(k = 1.4\), support pressure reduces from 172.45 kPa at \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0\) to 78.26 kPa at \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 1\), a 55% drop. At \(k = 0.6\), the reduction reaches about 188%. Neglecting non-homogeneity in undrained shear strength can result in significant overestimations of limit support pressure. By incorporating non-homogeneity into the analysis, engineers can achieve a more precise assessment of tunnel face stability, optimizing both safety and economy. From Fig. 19b, it is evident that the slope of the reduction in limit support pressure decreases as the width ratio increases. This indicates that in wider rectangular tunnels, the effect of non-homogeneity ratio becomes less significant compared to square tunnels. Figure 20 displays the failure mechanism profile for various \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values with \(k = 1\). It is evident that as \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) increases, the failure mechanism exhibits a degree of contraction. This behavior is further corroborated by the comparison with finite element simulations, as shown in Fig. 21. The failure patterns identified by the proposed analytical model closely align with those revealed through numerical simulations, demonstrating a high degree of consistency between the two approaches. Notably, as \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) increases, the failure zone in the numerical simulations becomes smaller, which aligns well with the predictions of our limit analysis model.
Fig. 19
Influence of non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) on limit support pressure
Fig. 20
Effect of non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) on the critical failure mechanism
Fig. 21
Failure pattern comparison in a plane strain view between finite element simulation and proposed analytical model for \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values of: a 0, b 0.5, c 1
×
×
×
6.2 Effect of Anisotropy
The impact of anisotropy of undrained shear strength on the stability of rectangular tunnel faces is examined for the case \(D = 10\;{\text{m}}\), \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 1\), \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1 - 4\), \(c_{u0} = 20\;{\text{kPa}}\), \(\gamma = 18\;{\text{kN/m}}^{3}\) and \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0 - 1\). Figure 22 illustrates how limit support pressure varies with the anisotropy factor k for different \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) and \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) values. In Fig. 22a, a non-linear increase in limit support pressure is observed with rising values of the anisotropy factor k, although the rate of growth diminishes as k increases. Furthermore, the impact of k on critical collapse pressure is more significant at higher values of \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\), indicating that anisotropy has a more pronounced effect on face stability under greater non-homogeneity values. For instance, at \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0\), support pressure increases from 96.03 kPa at \(k = 0.6\) to 172.45 kPa at \(k = 1.4\), marking an 80% rise. For \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 1\), the increase is approximately 193%. Figure 22b demonstrates that the rate of increase in limit support pressure diminishes as the width ratio increases. An analysis of Figs. 19b and 22b indicates that the influence of both the anisotropy factor and the non-homogeneity ratio on the required support pressure is reduced in wider rectangular tunnels compared to square tunnels.
Fig. 22
Influence of anisotropy factor k on limit support pressure
×
The results indicate that overlooking the anisotropy in face stability analysis can lead to an overestimation of the limit support pressure in normally or lightly overconsolidated clays (\(k < 1\)). Although this conservative approach ensures safety in tunneling, it is economically inefficient, as it results in overly conservative designs that unnecessarily increase project costs. Conversely, for heavily overconsolidated clays (\(k > 1\)), ignoring anisotropy may result in an underestimation of the critical support pressure. This can be particularly hazardous in practical tunneling operations, as it may result in inadequate safety margins and increased risk of tunnel face failure. Therefore, it is imperative for engineers to incorporate anisotropy in their analyses to ensure robust tunnel face stability and mitigate potential safety risks. Figure 23 depicts the profile of the critical failure mechanism for different values of k. As k increases, the failure mechanism exhibits an expansion. Despite this observation, the impact of anisotropy on the feature of failure mechanism is relatively minor and remains largely negligible.
Fig. 23
Effect of anisotropy factor k on the critical failure mechanism
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6.3 Effect of Cover Depth Ratio
To examine how the cover depth ratio affects tunnel face stability, Fig. 24 depicts the load parameter \({{\left( {\sigma_{s} - \sigma_{t} } \right)} \mathord{\left/ {\vphantom {{\left( {\sigma_{s} - \sigma_{t} } \right)} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) versus the cover depth ratio \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\) for the case where \(D = 10\;{\text{m}}\), \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1.5\), \(c_{u0} = 20\;{\text{kPa}}\) and \(\gamma = 18\;{\text{kN/m}}^{3}\). When the load parameter is positive, it indicates that the tunnel face is inherently stable, whereas a negative value implies instability and the need for support pressure to prevent potential failure. Figure 24 illustrates that when \(k = 0.6\), the load parameter declines as cover depth rises for \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0{\text{ and 0}}{.25}\). For \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0.5\), the graph remains nearly linear. However, with appreciable non-homogeneity (\({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0.75{\text{ and 1}}\)), the trend reverses, and the load parameter increases with greater cover depth. This highlights the crucial impact of non-homogeneity in soils with low k values. For isotropic soils (\(k = 1\)), the load parameter drops sharply as \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\) increases at low non-homogeneity values. However, the rate of decline lessens for higher \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values, indicating that the influence of cover depth ratio on tunnel face stability is minimal for high \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\). A similar trend occurs for \(k = 1.4\), though the load parameter values are lower. The closely spaced plots for high anisotropy factor confirm that non-homogeneity has a more significant effect at lower k values.
Fig. 24
Relationship between load parameter and cover depth ratio for different k values: a 0.6, b 1.0, c 1.4
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6.4 Effect of Width Ratio
To examine how the width ratio affects tunnel face stability, Figs. 25 and 26 illustrates the load parameter plotted against \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) for the case \(D = 10\;{\text{m}}\), \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 1\), \(c_{u0} = 20\;{\text{kPa}}\), \(\gamma = 18\;{\text{kN/m}}^{3}\). The findings consistently reveals that the load parameter decreases as \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) increases, a trend observed across all cases. Remarkably, the reduction rate escalates with higher \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values. For example, at \(k = 0.6\), the load parameter drops by 3.74 units as \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) increases from 1.0 to 4.0 when \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0\). This reduction nearly doubles to 6.7 units at \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 1\), highlighting the critical influence of width ratio in soils with notable non-homogeneity. Meanwhile, as the anisotropy factor k rises, the rate of decrease in the load parameter diminishes, indicating that the width ratio's influence on face stability is more pronounced when \(k < 1\). The minimal impact in all cases is observed when k is high (\(k = 1.4\)) and the soil is homogeneous (\({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }} = 0\)).
Fig. 25
Relationship between load parameter and width ratio for different k values: a 0.6, b 1.0, c 1.4
Fig. 26
Relationship between load parameter and width ratio for different \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values: a 0, b 0.5, c 1.0
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These results suggest that in soils exhibiting significant non-homogeneity and a low anisotropy factor, the width ratio becomes a critical factor in assessing the stability of the tunnel face. In such cases, rectangular tunnels with lower width ratios are more advantageous, as face stability is more sensitive to increases in width ratio. Conversely, in homogeneous soils with higher levels of anisotropy factor, the influence of the width ratio on stability is minimal, allowing for the use of wider RTBMs with less concern for face instability.
Figure 27 reveals that the width ratio's influence becomes increasingly significant in deeper tunnels. In such scenarios, the rate of decline in the load parameter accelerates as the width ratio increases, implying that deeper tunnels with larger width ratios are more vulnerable to face failure compared to shallow tunnels. From a practical engineering perspective, when tunneling at greater cover depths, the use of wider RTBMs demands careful consideration. These wider tunnels require higher face pressure to maintain stability, thus posing a greater challenge to tunnel design and execution under deeper conditions.
Fig. 27
Relationship between load parameter and width ratio for various cover depth ratios in isotropic and homogeneous clays
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6.5 Effect of Soil Unit Weight Ratio
Figure 28 explores the impact of soil unit weight ratio on tunnel face stability by presenting the load parameter as a function of \({{\gamma D} \mathord{\left/ {\vphantom {{\gamma D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\), with \(D = 10\;{\text{m}}\), \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} = 1\), \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} = 1.5\) and \(c_{u0} = 20\;{\text{kPa}}\). The results demonstrate a clear, linear decrease in the load parameter as \({{\gamma D} \mathord{\left/ {\vphantom {{\gamma D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) increases. While higher \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) values elevate the load parameter, the slope of the graphs remains unchanged. An increase in k results in lower load parameter values, but once again, the slope of the graphs remains consistent. The closely spaced plots at higher k values highlights that non-homogeneity has a more pronounced impact at lower k levels.
Fig. 28
Relationship between load parameter and soil unit weight ratio for different k values: a 0.6, b 1.0, c 1.4
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6.6 Sensitivity Analysis
This section presents a sensitivity analysis to evaluate the influence of various parameters on the limit support pressure. The sensitivity coefficient is calculated using a dimensionless expression defined as (Mohammadifar et al. 2024a; Wang et al. 2023b):
where \(S_{k}\) represents the sensitivity coefficient, \(\Delta \sigma_{tk}\) is the change in limit support pressure, \(\sigma_{tk}\) is the limit support pressure corresponding to the reference value, \(\Delta x_{k}\) is the change in a parameter relative to its reference value, and \(x_{k}\) is the reference value of the parameter. Three parameters are considered in this analysis: anisotropy factor k, non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\), and soil unit weight ratio \({{\gamma D} \mathord{\left/ {\vphantom {{\gamma D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\). The anisotropy factor is varied from 0.6 to 1.4 in intervals of 0.1, with a reference value of 1.0. The non-homogeneity ratio ranges from 0 to 1.0 with an interval of 0.25 and a reference value of 0.5. Similarly, the soil unit weight ratio ranges from 0 to 10 in intervals of 1.0, with a reference value of 5.0. A rectangular tunnel with dimensions \(D = 10\;{\text{m}}\), \(B = 15\;{\text{m}}\) and \(C = 10\;{\text{m}}\) is considered for this analysis.
The results of the sensitivity analysis reveal distinct behaviors for each parameter. The anisotropy factor exhibits a non-linear influence on the limit support pressure, with sensitivity coefficients decreasing progressively as the factor increases from 0.6 to 1.4. The calculated sensitivity coefficients for the anisotropy factor are as follows: 0.89, 0.76, 0.67, 0.59, 0.48, 0.44, 0.41, and 0.38, with an average value of 0.58. This indicates that the anisotropy factor’s influence diminishes at higher values. In contrast, the non-homogeneity ratio shows a consistent sensitivity coefficient of 0.67 across its entire range, indicating a linear relationship with the limit support pressure. The soil unit weight ratio, on the other hand, exhibits the highest sensitivity coefficient, maintaining a constant value of 5.08, which highlights its dominant influence on the limit support pressure.
When comparing the non-homogeneity ratio and anisotropy factor, the sensitivity coefficient for non-homogeneity is higher than the mean sensitivity coefficient of anisotropy (0.67 versus 0.58). This indicates that, on average, variations in material homogeneity exert a stronger influence on the limit support pressure than anisotropy. However, this relationship is not consistent across the range of anisotropy values. For example, at lower anisotropy factors, the sensitivity coefficients (e.g., 0.89 and 0.76) exceed the constant value of 0.67 for non-homogeneity. As the anisotropy factor increases, its sensitivity coefficients decline (e.g., 0.44 and 0.38), eventually falling below the value for non-homogeneity. This demonstrates that while non-homogeneity has a steady and significant impact, the influence of anisotropy is more variable and dependent on its magnitude. These findings highlight that the soil unit weight ratio is the most critical parameter, given its consistently high sensitivity coefficient. The non-homogeneity ratio is generally more influential than anisotropy, but the variability of the anisotropy factor indicates that its importance cannot be overlooked, particularly in scenarios where anisotropy-related soil behavior is prominent.
6.7 Discussion on Uniformly Distributed Force \(\sigma_{v}\)
The proposed failure mechanism considers the crucial effect of soil arching. To capture this phenomenon, a uniformly distributed force \(\sigma_{v}\) is used to represent the weight of the soil mass in the overburden layer above the multi-block failure zone. This force directly influences the critical support pressure and is essential in assessing the stability of tunnel face. Here, we examine how undrained shear strength, anisotropy factor, non-homogeneity ratio, width ratio and cover depth ratio affect this pressure for the case \(D = 10\;{\text{m}}\), \(\gamma = 18\;{\text{kN/m}}^{3}\). The results are illustrated in Fig. 29. The relationship between the uniformly distributed force \(\sigma_{v}\) and cover depth ratio \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D}\) across various undrained shear strength \(c_{u0}\) values is illustrated in Fig. 29a. When soil arching is not considered, the uniformly distributed force is notably larger, highlighting its importance in face stability analysis. The uniform pressure \(\sigma_{v}\) decreases as undrained shear strength increases at a constant cover depth. As expected, \(\sigma_{v}\) rises with increased cover depth ratio, though this increase slows with higher undrained shear strength values. Notably, when \(c_{u0} = 70\;{\text{kPa}}\), the uniformly distributed force \(\sigma_{v}\) becomes negligible in shallow tunnels. This indicates that in soils with high undrained shear strength, most of the vertical pressure from the yielded soil mass above the tunnel crown is transferred to the stationary soil mass. Figure 29b presents the impact of non-homogeneity on the uniformly distributed force. An increase in the non-homogeneity ratio \({{\rho D} \mathord{\left/ {\vphantom {{\rho D} {c_{u0} }}} \right. \kern-0pt} {c_{u0} }}\) results in a decrease in \(\sigma_{v}\) at the same cover depth, with a more pronounced reduction at greater cover depths. At higher non-homogeneity levels, the uniform pressure grows more gradually with cover depth. Furthermore, in soils with a high non-homogeneity ratio, the effect of increasing the cover depth ratio on vertical pressure becomes minimal when \({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} > 1.5\). Figure 29c examines the effects of anisotropy factor k. Unlike the behavior observed with non-homogeneity ratio, \(\sigma_{v}\) increases as the anisotropy factor rises. Notably, the slope of the graphs in Fig. 29c varies only slightly across different anisotropy factors. A behavior comparable to that observed for the anisotropy factor is also evident for the width ratio, as illustrated in Fig. 29d. As the width ratio \({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D}\) rises from 1.0 to 4.0, the uniformly distributed force \(\sigma_{v}\) also increases, exhibiting a more significant increase at higher cover depth ratios.
Fig. 29
Influence of different geometrical and geotechnical parameters on uniformly distributed force \(\sigma_{v}\)
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7 Summary and Conclusions
This study has examined the face stability of shallow rectangular tunnels excavated by RTBMs in purely cohesive soils. We developed a novel failure mechanism for evaluating active tunnel face failure, using the upper-bound theorem of limit analysis. This mechanism incorporates soil arching effects along with considerations of anisotropy and non-homogeneity in undrained shear strength. By optimizing the geometric parameters of this failure model, we obtained the optimum upper-bound solutions for collapse pressure. We also formulated design fornulas to facilitate efficient computation of limit support pressure, thereby enhancing practical usability. The analytical solutions derived from this new failure mechanism were validated through comparisons with finite element simulations and existing solutions across multiple cases. Furthermore, a comparison between existing solutions for circular tunnels and the specific case of square tunnels was conducted. An extensive analysis was conducted to assess how different geometrical and geotechnical factors affect the stability of rectangular tunnel faces. The principal findings are summarized as follows:
(1)
The findings from the new failure model closely align with numerical simulations, demonstrating a significant improvement over existing analytical solutions. The multi-block failure model, which incorporates the soil arching effect, is found to provide highly accurate and reliable results for shallow rectangular tunnels. Additionally, comparisons between the new failure model and previous solutions for circular tunnels reveal that the new model is more efficient than existing upper-bound approaches. This makes it particularly suitable for estimating the limit support pressure of shallow circular tunnels, highlighting its enhanced capability and robustness.
(2)
The investigation into how different parameters influence tunnel face stability demonstrated notable effects of soil non-homogeneity and anisotropy. Specifically, an increase in non-homogeneity leads to a decrease in the limit support pressure, whereas higher anisotropy factor values result in an increased limit support pressure. Ignoring these factors can lead to substantial misestimations of limit support pressure. However, it is found that the influence of both the anisotropy and the non-homogeneity on the limit support pressure is reduced in wider rectangular tunnels. The influence of non-homogeneity is particularly pronounced in conditions with low anisotropy factors and deeper tunnels. The limit support pressure increases with an increasing width ratio, especially in soils with high non-homogeneity and low anisotropy. The analysis also demonstrated that as soil unit weight increases, the stability of the tunnel face decreases.
(3)
The examination of how various parameters affect soil arching revealed that as undrained shear strength increases, the uniformly distributed force decreases. In cases where the undrained shear strength is exceptionally high, \(\sigma_{v}\) can become nearly negligible, suggesting that the majority of soil pressure above the tunnel is primarily borne by the adjacent, undisturbed soil. Furthermore, in soils with high non-homogeneity and low anisotropy factor, the uniformly distributed force is reduced. It is also important to note that in wider rectangular tunnels with higher width ratios, \(\sigma_{v}\) is generally greater.
The proposed model offers significant potential for practical application in geotechnical engineering. After conducting geotechnical investigations and determining site-specific ground characteristics, the design formulas derived in this study can serve as a valuable resource for estimating the required support pressure prior to excavation. The flowchart provided in Fig. 11 further streamlines the practical implementation of the model, enabling engineers to integrate its use efficiently during the early stages of tunnel excavation planning. This model is particularly well-suited for rectangular tunnels with shallow cover depths in anisotropic and non-homogeneous clays. By addressing the anisotropy and non-homogeneity of undrained shear strength, the model allows for a more precise and tailored analysis of tunnel face stability. Such precision not only enhances safety but also optimizes resource allocation by reducing the risk of conservative overdesigns or underestimated support requirements, which can lead to costly errors in tunneling operations. Furthermore, the findings highlight the importance of considering both anisotropy and non-homogeneity in stability analyses. Ignoring anisotropy in lightly overconsolidated clays may lead to overly conservative support pressure estimates, increasing project costs unnecessarily. Conversely, failing to account for anisotropy in heavily overconsolidated clays may result in critical underestimations, posing safety risks. Similarly, neglecting non-homogeneity can lead to significant overestimations of support pressure, reducing the efficiency of tunnel designs. By addressing these factors, the proposed model provides engineers with a reliable framework for improving safety and optimizing resources in tunneling projects.
While the proposed model provides significant insights into the face stability of shallow rectangular tunnels in undrained clays, it is subject to several limitations. The assumption of uniform support pressure, while valid for compressed air shields, may not accurately represent the non-uniform pressure distributions observed with slurry shield machines. Future research should analyze the impact of depth-dependent support pressure to refine face stability predictions for rectangular tunnels. The model demonstrates reliable performance for square and wide rectangular tunnels (\({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} \ge 1\)), but its accuracy diminishes for tall rectangular tunnels (\({B \mathord{\left/ {\vphantom {B D}} \right. \kern-0pt} D} < 1\)). To address this, future studies should propose new failure mechanisms specifically designed for tall rectangular tunnels. Additionally, this study assumes a linear variation of undrained shear strength to represent non-homogeneity, which could be extended in future research to include alternative soil profiles, such as layered soils, making the model applicable to more complex geotechnical conditions. Finally, the proposed model proves effective for shallow tunnels (\({C \mathord{\left/ {\vphantom {C D}} \right. \kern-0pt} D} < 1.5\)) but shows limitations when applied to deeper tunnels. Developing advanced failure mechanisms for deeper rectangular tunnels remains a promising direction for future research. By addressing these limitations, future studies can provide more comprehensive solutions tailored to diverse rectangular tunneling conditions.
Acknowledgements
We would like to express our sincere gratitude to Amirkabir University of Technology (AUT) for providing the facilities, support, and environment necessary to carry out this research. The resources and guidance available at the university have been invaluable in the successful completion of this work.
Declarations
Conflict of interest
The authors declare there is no potential conflict of interest.
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