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Experimental and Numerical Analysis on the Thermo-Mechanical Stresses Triggering the Onset of Fire-Induced Concrete Spalling

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  • 16.05.2025
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Abstract

Betonabplatzungen, das progressive oder gewaltsame Abplatzen von Betonoberflächen bei hohen Temperaturen, stellen bei Bränden ein erhebliches Risiko für die strukturelle Integrität dar. Dieser Artikel untersucht die thermomechanischen Belastungen, die Abplatzungen auslösen, und konzentriert sich dabei auf die gegensätzlichen, aber relevanten Szenarien von Kohlenwasserstoff- und Standardbrandexpositionen. Durch experimentelle Untersuchungen mit der Testmethode des Heat-Transfer Rate Inducing System (H-TRIS) und numerische Analysen mit der Finite-Elemente-Software ABAQUS zeigt die Studie entscheidende Unterschiede hinsichtlich Einführungszeit, Art und Tiefe der Abplatzungen zwischen den beiden Heizbedingungen. Der Versuchsaufbau mit hochfesten Betonproben mit eingebetteten Thermoelementen bietet eine präzise Kontrolle der thermischen Randbedingungen und gewährleistet zuverlässige und präzise Ergebnisse. Das numerische Modell, das gegen experimentelle Temperaturverteilungen validiert wurde, bietet Einblicke in die Spannungszustände zum Zeitpunkt des Abplatzens und unterstreicht die Rolle thermischer Gradienten und Einschränkungen. Die Studie untersucht auch den Einfluss extern angelegter Lasten und zeigt, wie uniaxiale und biaxiale Belastungsbedingungen Spannungsverteilungen und Abplatzungsverhalten beeinflussen. Die Ergebnisse unterstreichen die Bedeutung der Berücksichtigung thermo-mechanischer Wechselwirkungen bei der Planung und Bewertung brandgefährdeter Betonkonstruktionen und bieten wertvolle Erkenntnisse zur Verbesserung des Brandschutzes und der strukturellen Widerstandsfähigkeit.

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1 Introduction

Fire represents one of the most severe conditions experienced by any structure and it is different from other catastrophic conditions in a way that it interferes with the load bearing capacity of the structure by reducing the strength of the material. Concrete by virtue of its high specific heat and low thermal conductivity, naturally resists the heat flow in case of fire. However, concrete suffers from spalling at high temperatures, characterized as progressive or violent flaking of concrete surfaces. Spalling can have serious consequences as it reduces the effective cross section area of the concrete member and further exposes the underlying reinforcements directly to high temperatures. Spalling is a complex phenomenon, influenced by several factors such as types of aggregates, cement, member shape, moisture content, reinforcements, rate of heating, concrete strength, applied stresses and loading conditions [118]. However, these factors are often interrelated, making it further difficult to predict the onset of spalling and design against it. The literature suggest that fire-induced spalling is mainly governed by two mechanisms, (i) thermal stress cracks [1921] and (ii) pore pressure generation [10, 22, 23]. In the thermal stress theory, stresses are generated due to high thermal gradients in concrete and restrained thermal expansion. In real-life, structural components are always under some loading and experience some degree of restraints. Stresses originating from dead and live loads act together with thermal stresses to initiate spalling. The pore pressure theory is based on the rise in pore vapour pressure due to moisture movement and development of a moisture saturated zone at some depth away from the heated zone. However, it is still debatable which of these two mechanisms dominate spalling response at different mix designs and heating conditions.
While several attempts have been made to measure the pore pressure during heating and the study of influencing factors in the process [8, 11, 12, 24, 25], significant variance are often observed ranging from very low to high values of pressure and from no spalling to high degree of spalling. In some cases, concrete spalled with very low pore pressure while in other cases, even at very high-pressure spalling was not observed. Some even suggest that no direct relationship could be established between the pore pressure measurements and spalling severity. While past experimental studies have provided valuable insight into the spalling response of concrete, significant challenges exist when comparing experimental results with numerical models. The inconsistency observed in spalling responses between heating tests in laboratories without loads/constraints and real concrete components or structures emphasizes the importance of reproducing realistic loading conditions during experimental investigations. Numerical models dealing with thermo-hygro-mechanical problem exists in literature, however, the complex nature of the problem and the modelling parameters involved requires several assumptions, making it difficult to incorporate in the design process. Abubaker and Davie [26] studied the effect of test configurations and restraints using a thermo-mechanical numerical model. Authors observed that restraints significantly affected the stress states inside concrete and inferred that the compression zone near the heated face is key to spalling initiation. Li and Zhang [27] performed experiments on ultra-high-performance concrete (UHPC) and compared the effects of restraints numerically by using a thermo-mechanical model and concluded the thermal induced tensile stress as main contributor to crack initiation.
Among the factors responsible for spalling, the heating rate typically has a proportional relationship with spalling severity. Extensive spalling is often observed in case of hydrocarbon fire compared with the standard fire or ISO-834 [28]. Similar response was observed in a past study [29] where four different heating rates were compared, and consistently higher spalling was observed in case of higher heating rates. Tests performed by Jansson and Boström [30] on self-compacting concrete showed no effect of fire severity on the depth of spalling.
This paper aims to study the behaviour of high-strength concrete exposed to hydrocarbon and standard fire curve experimentally using Heat-Transfer Rate Inducing System (H-TRIS) test method [31] and compare the influence of thermo-mechanical stresses using finite element software ABAQUS at the time of spalling. Hydrocarbon fire has a very high heating rate compared to standard fire exposure, generally used in case of tunnel fires. The two heating conditions (namely, hydrocarbon and standard fire), represent contrasting yet relevant scenarios, allowing for a nuanced exploration of spalling behaviour in different fire environments. Clear differences in terms of spalling initiation time, spalling type and spalling depth were observed in the experiments. Further, numerical analysis is performed using the finite element software ABAQUS to study the thermo-mechanical behaviour and stress-state at the time of spalling. The effect of pore pressure is not considered in this analysis. The temperature profile is compared between the experimental observations and numerical results with very good accuracy. Effects of externally applied loads are further investigated in the two heating cases focusing on the changes in stress-states in uniaxial and biaxial loading conditions.

2 Experimental Investigation

2.1 Materials and Sample Preparation

The concrete mix was prepared following the mix design given in Table 1 along with basic tests performed on the casting day. The maximum diameter of 10 mm aggregates was used while keeping the water to cementitious material ratio at 0.35. SIKA Plastiment, SIKA Viscocrete and SIKA Retarder admixtures were also added to the mix. Several cylindrical samples (⌀100 × 200 mm and ⌀150 × 300 mm) were prepared for compressive, indirect tensile strength testing, Young’s modulus and Poisson’s ratio tests. Prismatic samples (300×300 × 200 mm) for spalling tests were prepared with thermocouples embedded at depths of 5, 10, 15, 30 and 50 mm from the heated face (Figure 1). The samples were demoulded 24 hours after casting and kept submerged in a temperature-controlled water tub for 28 days. Further, the samples after curing were kept in a temperature and humidity-controlled room until the test day. The average 28-day compressive strengths and indirect tensile strengths [32, 33] were measured to be 82.98 MPa and 5.91 MPa, respectively along with Young’s modulus and Poisson’s ratio, mentioned in Table 2.
Table 1
Mix design per cubic meter of concrete
Cement (kg)
Fly ash (kg)
Sand (kg)
Coarse aggregate (kg)
W/C
SIKA Plastiment 45 (ml/100 kg cm)
SIKA Viscocrete 10 (ml/100 kg cm)
SIKA Retarder N (ml/100 kg cm)
364
121
729
946
0.35
325
140
235
Fig. 1
a Thermocouples placement, b Uniaxial compression test sample, c Brazilian or indirect tensile test sample, d Sketch of thermocouples placement (dimensions are in mm)
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Table 2
Properties of concrete
Tests
Results
Standards
Slump
200 mm
AS 1012.3.1
Air content
1.8%
AS 1012.4
Density
2420 kg/m3
AS 1012.5
Compressive strength
82.98 MPa
AS 1012.9
Indirect tensile strength
5.91 MPa
AS 1012.8.1
Young’s modulus
45.92 GPa
AS 1012.17
Poisson’s ratio
0.19
AS 1012.17

2.2 Test Setup and Heating Conditions

In fire testing of materials or structural components, design fires correspond to the range of scenarios that the structure can experience during a fire. These design fires are mainly given in terms of time-temperature curves of a fire chamber or furnace assuming homogenous spatial and temporal distribution. Many such design fires exist but the standard fire curve and hydrocarbon fire curve can be considered as two most popularly used representing a moderate and high heating rate scenario respectively. The H-TRIS test setup at the University of Queensland [34] is used to expose the concrete samples to ISO and hydrocarbon fire curve exposure. In this test method, the incident heat flux is carefully controlled to represent any design fire. The incident heat flux at the sample surface due to any fire curve is calculated from several in-depth temperature measurements of a sample exposed to that fire using an inverse algorithm [35]. The incident heat flux is measured at the sample surface at different distances of the radiant burners to calibrate the system. The calibrated system can generate any possible design fire exposure limited by the maximum possible proximity to the exposed face. To calibrate the system, the heat flux gauge is kept at the location of the exposed sample surface. Several heat flux measurements are taken at different distances of the radiant panel from the sample surface.
The setup consists of a linearly translating system with the moving part containing the radiant burners and a stand for keeping the sample stationary and exposed to the heat, shown in Figure 2 and in a simplified sketch in Figure 3. The system at the time of testing had 3 rows of 3 radiant burners installed totalling 9 burners, each working at a temperature of 1300 °C. The calibration was done to a minimum distance of 12 mm between the sample and the burners which translates to a heat flux of 370.25 kW/m2 at the specimen surface. In the current study, the hydrocarbon and standard fire initiates spalling much before reaching the minimum distance of the calibration.
Fig. 2
HTRIS test setup at the University of Queensland
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Fig. 3
H-TRIS test setup (simplified)
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The net heat flux at the specimen surface is represented by,
$$\dot{q}^{{{\prime\prime}}} _{net} = - k_{c} \cdot \frac{\partial T}{{\partial x}}|_{x = 0}$$
(1)
where \({\frac{\partial T}{\partial x}|}_{x=0}\) is the in-depth time dependent temperature distribution at the exposed face and kc is thermal conductivity of concrete. Using this principle, the required incident heat flux is calculated to match the resulting in-depth temperature of any design fire exposure. The test is performed till the first spalling event observed to protect the burners from the spalled concrete flakes and to eliminate variability associated with thermal boundary conditions at the exposed face since the spalling increases the distance between the two which is not updated in the computer control in real-time. Further progressive or explosive spalling is anticipated at least for some time if the test is continued.

3 Spalling Results

Six tests were conducted, three each for hydrocarbon and standard fire curve exposure. While all the samples were casted with thermocouples embedded in them, the thermocouple at 5 mm depth of H8 sample was damaged during casting. For H5 sample, no spalling was observed for 30 minutes exposure of standard fire. The details of the tests are mentioned in the Table 3.
Table 3
Test results
Sample ID
Sample Age (Days)
Fire curve
Time-to-first spall (seconds)
Max. spalling depth (mm)
Temperature at 5 mm depth at spalling time (°C)
H8
105
Hydrocarbon
103
6
H6
177
Hydrocarbon
88
5
155
H10
178
Hydrocarbon
102
12
158
H9
106
ISO
560
20
285
H5
179
ISO
H7
181
ISO
551
28
276
All the samples exposed to hydrocarbon fire started spalling between 88–103 seconds and 551–560 seconds for standard fire. The similarity of results for each replicate tests shows the repeatability of the test method and is one of the main advantages of using H-TRIS test method as it accurately and precisely controls the thermal boundary condition at the exposed face. Two samples were tested 3 months after casting while rest four samples were tested after 6 months. No significant impact of the concrete age was observed on spalling characteristics. It is important to note that the initiation of spalling in case of hydrocarbon fire was surface level and not explosive in nature. Since the test was stopped at first instance of spalling, further nature of spalling (explosive and/or progressive) could not be ascertained. However, in case of standard fire, the spalling initiation event was explosive in nature with a loud bang. Figure 4 shows the concrete samples exposed to standard fire at the time of explosive spalling.
Fig. 4
Samples at time of spalling in ISO test
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Figure 5 shows images of the samples post-spalling and the spalled debris were collected after spalling as shown in Figure 6. Temperature distribution was measured using the in-depth thermocouples at different depth shown in the following section. Consistent results were obtained between the replicate tests confirming the validity of the testing procedure. One out of three samples exposed to the standard fire curve did not spall while all the testing conditions were the same which indicates the heterogenous behaviour of concrete in fire. During testing of standard fire exposure, water was observed to be leaking from the sides and the top of the sample through cracks presumably thermally induced as can be seen from Figure 4. It is important here to note that water leaking was observed in all the samples exposed to standard fire exposure.
Fig. 5
Samples after spalling test (a) Hydrocarbon fire (b) standard fire
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Fig. 6
Spalled debris (a, b) standard fire, (c, d) Hydrocarbon fire
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4 Numerical Analysis

The general-purpose finite element software, ABAQUS [36] is employed to model the thermo-mechanical problem. Concrete is modelled using a continuum-based damage plasticity material model known as Concrete Damaged Plasticity (CDP). The model is modified by incorporating the temperature-dependent properties of concrete enabling it to capture the coupled thermo-mechanical behaviour of concrete due to applied load or restraints. The yield function of CDP is proposed by Lubiner et al. [37] and further modified by Lee and Fenves [38].
The CDP model has been used successfully in literature to simulate the thermo-mechanical behaviour of heated concrete. The model uses isotropic damaged elasticity along with isotropic tensile and compressive plasticity to simulate the inelastic behaviour of concrete [36]. The failure is governed by compressive crushing and tensile cracking of concrete. For the compressive regime, stress–strain data in the plastic range is provided in the form of inelastic strain at different temperature ranges. Corresponding damage data is also provided in terms of temperature-dependent damage parameter and inelastic strain in the post yield region. The inelastic strain can be computed by subtracting the elastic strain from the total strain, \({\widetilde{\epsilon }}_{c}^{in}={\epsilon }_{c}-{\epsilon }_{0c}^{el}\), where\({\epsilon }_{0c}^{el}={\sigma }_{c}/{E}_{0}\), as shown in Fig. 7. ABAQUS computes the plastic strain from inelastic strain input using the Eq. (2) [36],
Fig. 7
Stress–strain curve of CDP in (a) compression, and (b) tension [36]
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$${\widetilde{\epsilon }}_{c}^{pl}={\widetilde{\epsilon }}_{c}^{in}-\frac{{d}_{c}}{1-{d}_{c}}\frac{{\sigma }_{c}}{{E}_{0}}$$
(2)
Similarly, tensile cracking is modelled using tension stiffening by defining strain-softening behaviour in the post-peak regime. Temperature-dependent inelastic strain and post-failure stress values are required along with tensile damage parameters. The cracking strain is computed by subtracting the elastic strain from the total strain, \({\widetilde{\epsilon }}_{t}^{ck}={\epsilon }_{t}-{\epsilon }_{0t}^{el}\), where \({\epsilon }_{0t}^{el}={\sigma }_{t}/{E}_{0}\) as shown in Fig. 7; and ABAQUS internally computes plastic strain from cracking strain using the Eq. (3) [36],
$${\widetilde{\epsilon }}_{t}^{pl}={\widetilde{\epsilon }}_{t}^{ck}-\frac{{d}_{t}}{1-{d}_{t}}\frac{{\sigma }_{t}}{{E}_{0}}$$
(3)
where E0, dc, dt are the elastic stiffness of the undamaged material, compression damage parameter and tension damage parameter respectively. The calculated plastic strain must be positive and/or increasing with increasing cracking strain or inelastic strain.
The constitutive model proposed by Kodur et al. [39] is implemented to model high-strength concrete at elevated temperatures described in equations (4) – (7). The reduction factors for elastic modulus at high temperatures are taken from [40, 41] and the tensile strength reduction factors from [42] shown in Figure 8.
Fig. 8
Reduction factors for elastic modulus and tensile strength
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$$\sigma =\left\{\begin{array}{c}{f}_{c,T}^{\prime}\left[1-{\left(\frac{{\varepsilon }_{\mathit{max},T}-\varepsilon }{{\varepsilon }_{\mathit{max},T}}\right)}^{H}\right], \varepsilon \le {\varepsilon }_{\mathit{max},T}\\ {f}_{c,T}^{\prime}\left[1-{\left(\frac{30\left(\varepsilon -{\varepsilon }_{\mathit{max},T}\right)}{\left(130-{f}_{c}^{\prime}\right){\varepsilon }_{\mathit{max},T}}\right)}^{2}\right], \varepsilon>{\varepsilon }_{\mathit{max},T}\end{array}\right.$$
(4)
$$f_{{c,T}}^{\prime} = \left\{ {\begin{array}{*{20}l} {f_{c}^{\prime} \left[ {1.0 - 0.003125\left( {T - 20} \right)} \right],~T < 100^\circ C} \\ {0.75f_{c}^{\prime} ,~100^\circ C \le T \le 400\,^\circ C} \\ {f_{c}^{\prime} \left[ {1.33 - 0.00145T} \right],~400^\circ C < T} \\ \end{array} } \right.$$
(5)
$${\varepsilon }_{\text{max},T}=0.0018+\left(6.7{f}_{c}^{\prime}+6.0T+0.03{T}^{2}\right)\times 1{0}^{-6},$$
(6)
$$H = 2.28 - 0.012f_{c}^{\prime}$$
(7)
Transient thermal strain approximation is considered in cases where loading is applied using the method given in [26]. Temperature dependent thermal properties such as conductivity, density, specific heat and thermal expansion are also incorporated into the model [43, 44]. The net heat flux was calculated by accounting for the thermal losses in a 1-D heat flow case and was applied in the model as surface heat flux. Coupled thermo-mechanical analysis was performed in ABAQUS with temperature dependent brick elements (C3D8 T) with trilinear displacement and temperature. A fine mesh of 2.5 mm was used near the heated face up to 50 mm to accurately model the high thermal gradients and then 5 mm mesh was employed for the remaining 150 mm. A Steel plate was used to support the specimen in vertical direction with general contact interaction (penalty friction as tangential behaviour and hard contact as normal behaviour) and gravity load was used to make sure of contact stability during the initial steps as shown in Figure 9. It was not possible to measure strains experimentally due to the extreme heat near the exposed face, therefore the model was validated successfully with experimental temperature results showing a decent match with all the experimental replicates and cracking behaviour during testing of standard fire exposure.
Fig. 9
Boundary conditions
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5 Analysis

This section is broadly categorized into three parts, in the first part the numerical model is validated using the experimental in-depth temperature distribution results, in the second part, the result of the thermo-mechanical analysis is discussed at the time of spalling and in the third part, the effect of externally applied load is investigated.

5.1 In-Depth Internal Temperature Distribution

In the hydrocarbon fire exposure, temperature at 5 mm depth of H6 and H10 samples shows a temperature difference of 20 °C at the last reading of H6 at 1 minute 28 seconds. Following two readings at 10 mm and 15 mm are much more precise. There could be many factors responsible for this behaviour such as errors associated with thermocouples placement during casting, sample placement, ambient temperature, wind and humidity, heating panel consistency. Similar effects can be seen in case of standard fire exposure where the concrete sample was exposed for a longer duration, however the maximum difference of 26 °C at 10 mm depth and 13 °C at 5 mm depth was observed. It is well within acceptable range of variation usually observed in thermal or fire tests. Therefore, the experimental results of temperature distribution can be considered reliable, accurate and precise.
The numerical model is validated by comparing the in-depth temperature distribution with experimental results at 5, 10 and 15 mm depth of the samples for hydrocarbon fire exposure since the thermocouples at 30 and 50 mm depth did not heat up significantly due to the fast spalling (within 2 minutes) in case of hydrocarbon fire. In case of standard fire exposure, thermocouple readings at 5, 10, 15, 30 and 50 mm depth were taken for comparison. For H5 sample which did not spall, the temperature is shown up to the maximum spalling time between the other two specimens (H7 and H9). The surface temperature at spalling calculated by FE models is 444 °C and 413 °C for ISO and hydrocarbon fire exposure cases respectively. For both thermal exposure cases, the ABAQUS calculated temperature distribution are in well accordance with the set of experimental results as shown in Figure 10.
Fig. 10
Measured (dashed lines) and numerically simulated (solid lines) temperature distribution comparison inside spalled samples under (a) Hydrocarbon fire, and (b) standard fire
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5.2 In-Depth Internal Stress Distribution

In this section, stress distribution of the unloaded sample is analysed and compared between hydrocarbon and standard fire exposure. The validated model is used to perform a thermo-mechanical analysis in ABAQUS to study the distribution of stresses near the heated face and their probable contribution to spalling. The S11, S22 and S33 (normal stresses along the three axes, see axis directions in Figure 3) stress distribution along the centreline of the specimen is plotted at different time instances from the start of heating till spalling in Figure 11. Figure 11a and b show the in-plane stress distribution parallel to heated face S11, S22 and stress component S33 perpendicular to the heated face for hydrocarbon and standard fire exposure, respectively. In both heating cases, the S11 and S22 contours can be seen shifting away from the exposed face with increased heating time with increasing value in both tension and compression regions. The initial part starts with a high compression zone, followed by a tension zone and again another compression zone is seen at the cold ends. This behaviour is due to restraint provided by the cooler region to the heated concrete expansion. This is consistent with the behaviour reported in the literature [26, 27]. It is noted in [26], that the compression zone near the heated face is a key factor in the initiation of spalling. Here also, similar behaviour is observed, while compressive stresses increase with time, the tensile stresses also increase to balance the equilibrium. The compressive and tensile stress distributions in both heating scenarios near heated face at the time of spalling are almost identical, even though the time of spalling initiation is very different due to the difference in heating rate. Even the general trend of stress distribution along the thickness is strikingly similar. This suggests that the stress states in different fire scenarios at the time of spalling is common in nature.
Fig. 11
Comparison of stress distribution along the centreline of unloaded samples under Hydrocarbon fire and standard fire
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For hydrocarbon fire exposure, the transition in S11 and S22 from compressive stresses to tension region occurs between a depth of 15 - 17.5 mm, while the spalling depth reported were between 5 and 12 mm. Similarly, for standard fire exposure, the contour reaches near tension zone between 17.5 mm and 37.5 mm, whereas depth of spalling in this case was between 20 and 28 mm. In S33 however, no significant compression zone formed near the heated face and most of the region is dominated by tensile stresses.
It is important to note that in case of standard fire exposure, fluctuations in S11 and S22 components are observed in the transition zone while it is not present in case of hydrocarbon fire exposure. Similarly, some fluctuations are observed in S33 behaviour in case of hydrocarbon fire exposure near the heated face while it is consistent in standard fire exposure. While the increase in S33 tensile stress is consistent in at the middle part of concrete in hydrocarbon fire, some fluctuations are observed in standard fire exposure starting from 400 s. Same fluctuations observed in S11 and S22 distributions starting at same time of 400 s. It is interesting to note that thermal damage starts at around the same time in experiments in terms of cracks and in numerical FE models also. There is a pattern of change in the slope of the S33 distribution. In hydrocarbon fire exposure, there is a gradual increase in the slope of the tensile stresses along depth just after the initial fluctuations, increasing with time. Whereas, in standard fire, the same slope quickly becomes much steeper before spalling. The tensile damage from the numerical model is compared with the experimentally observed cracks in Figure 12. Tensile damage starts to initiate around the edges between the time 250 s and 400 s in the FE model of standard fire exposure. In the FE model of hydrocarbon fire, a small amount of tensile damage is observed, while no water leakage and cracks were seen in experiments of hydrocarbon fire due to very fast spalling initiation. Tensile cracks have been observed in experiments of standard fire exposure, where water is seen to escape from those cracks starting at about 420 s. The timing and location of tensile damage match very well with experimental observation.
Fig. 12
Appearance of cracks in (a) ISO tests and (b) numerical model (250 s and 400 s, from left to right)
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Clearly, there is a difference in terms of the behaviour of stress distribution in hydrocarbon and standard fire, even though the overall trend is very similar. In hydrocarbon fire, the stress distribution of S11 and S22 is consistent, increasing in compression and tension with time, while the S33 plot shows fluctuations near the heated face. The spalling observed in the hydrocarbon fire is surface level chipping. In the standard fire, there is a clear impact of the thermal damage on the stress contour S11, S22 and S33 near the maximum spalling depth region starting from the time when water seeping was observed through cracking in experiments. The spalling observed in this case was explosive in nature.

5.3 Influence of External Loading

To study the effect of externally applied loading, a 20 MPa load level is considered, which is about ~25% of the 28-day compressive strength. The loading is applied uniaxially and biaxially with four different biaxial load ratios (K=0.25, 0.5, 0.75 and 1). K is defined as the ratio of applied loading in the horizontal direction to the vertical direction. In the uniaxial loading case, the load is applied in the vertical direction. These five loading cases are performed for both ISO and hydrocarbon fire exposure. Four time instances are taken for both these cases to find out if there is any sudden change in the stress distribution.
The S11, S22 and S33 stress distribution of these loading conditions for hydrocarbon fire cases are shown in Figure 13. Overall stress distribution for different loading conditions is similar to the unloaded case, with increased compressive stresses due to the combined effect of applied loading and thermal stresses. Slight difference is observed in the uniaxial loading case, where the maximum compressive stresses (S11, S22) and tensile (S33) stresses are highest among all the five cases. The peak of S33 tensile stress is also closer to the heated face in case of uniaxial loading.
Fig. 13
Stress distribution in hydrocarbon fire under uniaxial and different biaxial loading conditions
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In standard fire exposure, a similar response is observed, while increased thermal damage is observed in uniaxial loading cases starting from 400 s (Figure 14). The most pronounced damage effect is seen in the S22 and S33 stress contours. In all the cases, the compressive stresses are higher than unloaded case due to superposition of applied load. However, the overall stress increment is less compared to unloaded case without any applied compressive load. Similar to hydrocarbon fire, in the uniaxial load case, the peak compressive stresses are higher in S11 and S22, however the tensile stresses in S33 are lower possibly due to thermal damage.
Fig. 14
Stress distribution in standard fire under uniaxial and different biaxial loading conditions
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When comparing the stress distributions due to applied load in these two fire scenarios, it is evident in ISO exposure that the thermal damage plays a major role in uniaxial loading case. In biaxial loading cases, the S33 is higher than in unloaded case for K=0.25 of ISO case and almost equal in K=0.5 case. In rest of the cases, the stress contours of biaxially loaded samples show similar pattern as that of unloaded sample, shifted by some amplitude. The difference in the maximum compressive stresses between the unloaded case and any loading case, is higher in the standard fire exposure compared to hydrocarbon fire.

6 Discussion

Out of the six samples tested, five experienced spalling during heating. In hydrocarbon fire tests, all three samples spalled, staring very early of the heating regime between 88 s to 103 s. The spalling initiation type in hydrocarbon fire tests were all surface level flaking or chipping, while it is observed in other tests performed in literature that with time it progressively spalls and can be catastrophic for long fire durations. In standard fire exposure, two out of three samples spalled during heating. Both of the samples spalled in an explosive manner with a loud bang and with significant material ejection. The spalling time recorded was very close, between 551 s and 560 s. However, one sample exposed to standard fire, with all other conditions being same, did not spall for a 30 min fire duration. The test was stopped at 30 mins since it is observed that spalling tends to occur in first 10–20 minutes. During tests of all three samples exposed to standard fire, water was seen to escape from the heated sample from the sides and the top through cracks. This observation can be seen through the tensile damage calculated in the numerical models. For hydrocarbon fire however, this water leaking was not observed since the spalling initiation was very fast, with no time for water movement. Using the temperature distribution results from experiments, the numerical model was validated, in absence of strain or displacement data at high temperatures. It can be assumed that the model results are reliable as the thermal field matches very well, the stress distribution follows the general consensus from literature and cracks match accurately with experimental observations. In unloaded samples analysis, progression of stress distribution along the thickness is shown for both hydrocarbon and standard fire exposure. It is important to note the differences in stress-states, since the spalling initiation is different for both heating cases. In hydrocarbon fire, no significant thermal damage is observed at the time of spalling in experiments and numerical models as well. While visible damage was observed in ISO heating through cracks and water leaking, same was seen for numerical model in terms of tensile damage. It can be then interpreted that when spalling happens in moderate or slower heating scenarios, the initiation of spalling is through explosive type of spalling. Whereas, in higher rate of heating conditions, spalling initiates first as surface spalling nature and expected to be followed by potentially further spalling events.
In hydrocarbon fire exposure, the stress-distribution follows the general trend of the unloaded response with a slightly higher compressive peak. In the case of standard fire, in the uniaxial case, the thermal damage occurred around 400 s, while the damage level is reduced for biaxial loading cases. In biaxial loading, damage effects can be seen in the S22 stress contour starting at 250 s in all ratios however in S11 contour the damage is observed in only K=0.75 and K=1 load ratio. Previous literature suggests that under loaded or restrained conditions, spalling severity increases. The compression zone near the heated face has been identified as an important factor which contributes to the increase in spalling severity [26]. In hydrocarbon fire exposure, the peak of compressive stresses near the heated face, in case of K=1 equibiaxial loading is 36.81 MPa, while gradually increasing till uniaxial loading case up to 42.57 MPa. Similarly, for standard fire exposure, the peak in K=1 case is 36.29 MPa and increases to 42.32 MPa in case of uniaxial loading.

7 Conclusions

This paper presents experimental spalling behaviour of high strength concrete and numerically analyse the thermo-mechanical stresses generated along the thickness when exposed to standard and hydrocarbon fire scenarios. Six samples were tested in total with three each exposed to each fire curve exposure using the H-TRIS test setup. The samples were embedded with thermocouples to study the heat flow for the two heating rates and the numerical models were validated with the experimental temperature distribution. At the time of spalling, the temperature at 5 mm depth was reported between 155–158 °C for hydrocarbon and 276–285 °C for standard fire exposure. The temperature at the exposed surface at the time of spalling calculated numerically is 413 °C and 444 °C for hydrocarbon and standard fire respectively. The thermal gradient is high very close to the heated face for hydrocarbon fire, while in standard fire, the thermal gradient is lower with more volume of heated concrete. Spalling initiates between 88 and 103 seconds for hydrocarbon fire, and between 551 and 560 seconds for standard fire. It is therefore observed that, spalling initiates early for higher thermal gradients. The resulting spalling initiation is surface spalling for hydrocarbon and explosive spalling for standard fire. Since the spalling initiation is very fast for the hydrocarbon curve, the energy absorbed is lesser than in standard fire, resulting in surface spalling.
The general trend of stress distribution (S11, S22 and S33) at the time of spalling for both fire exposure is very similar in nature with compression near the heated face (S11 and S22) and tension at the middle part. The transition zone (S11 and S22) from compression to tension is closely related with the maximum spalling depth. For hydrocarbon fire, the transition occurs between 15 and 17.5 mm and the reported maximum spalling depth is between 5 and 12 mm. Similarly for standard fire, the transition from compression to tension zone occurs between 17.5 and 37.5 mm and the reported maximum spalling depth is between 20 and 28 mm. This overlap clearly indicates there is a correlation between the maximum spalling depth during first spalling event and the thermo-mechanical compression to tension transition zone at the time of spalling. Thermal damage effects are observed in the stress contours of standard fire exposure while it is absent in hydrocarbon fire. Similar effects are observed in the analysis with externally applied load with earlier onset of thermal damage (in S11 and S22 both) in standard fire exposure in uniaxial, K=0.75 and K=1. While the damage effects in S11 are lower in K=0.25 and K=0.5 case. The peak of compressive stresses near the heated face report similar values in both heating cases at time of spalling, confirming the correlation between the spalling and compression zone. Similar peaks of compression zone in cases of different biaxial loading ratios suggest similar spalling response for different biaxial loading ratios. Further experiments incorporating different biaxial loading ratios needs to be performed to investigate the influence of the compression zone near the heated face.

Acknowledgements

The authors thank and acknowledge the support of Shane Walker and Jeronimo Carrascal for their assistance in concrete casting and testing of samples at the laboratories at The University of Queensland. The authors are grateful for the support provided by The University of Queensland—Indian Institute of Technology Delhi (UQ-IITD) Research Academy.
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Titel
Experimental and Numerical Analysis on the Thermo-Mechanical Stresses Triggering the Onset of Fire-Induced Concrete Spalling
Verfasst von
Souvik Saha
Mehdi Serati
Dipti Ranjan Sahoo
Cristian Maluk
Publikationsdatum
16.05.2025
Verlag
Springer US
Erschienen in
Fire Technology / Ausgabe 5/2025
Print ISSN: 0015-2684
Elektronische ISSN: 1572-8099
DOI
https://doi.org/10.1007/s10694-025-01749-3
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