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Strength of Materials
Erschienen in: Strength of Materials 6/2016

08.02.2017

Analysis of Crack Coalescence in Concrete Using Neural Networks

verfasst von: H. Haeri, V. Sarfarazi, Z. Zhu

Erschienen in: Strength of Materials | Ausgabe 6/2016

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Abstract

Fractures in the forms of joints and microcracks are commonly found in concretes, and their failure mechanism strongly depends on the crack coalescence pattern between pre-existing flaws. The determination of the failure behavior of nonpersistent joints is an engineering problem that involves several parameters as mechanical properties of concrete, normal stress and the ratio of joint surface to total shear surface. The impact of these parameters on the crack coalescence is investigated through the use of computational tools called neural networks. A number of networks of threshold logic units were tested, with adjustable weights. The computational method for the training process was a back-propagation learning algorithm. In this paper, the input data for crack coalescence consists of values of geotechnical and geometrical parameters. As an output, the network estimates the crack type coalescence (i.e., mode I, mode II, or mixed mode I-II) that can be used for stability analysis of concrete structures. The performance of the network is measured and the results are compared to those obtained by means of the experimental method.
Vorheriger Artikel Numerical Study of Failure Modes and Crack Propagation in 2A12 Aluminum Target Against Blunt-Nosed Projectile at Low Yaw Angle
Nächster Artikel Numerical Modeling and Mechanical Analysis of Combined Connection with Bolts and Welds

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Literatur
1.
E. Eberhardt, D. Stead, J. Coggan, and H. Willenberg, “An integrated numerical analysis approach to the Randa rockslide,” in: Proc. of the First European Conference on Landslides, Prague (2002), pp. 355–362.
2.
Y. H. Hatzor, A. A. Arzi, Y. Zaslavsky, and A. Y., Shapira, “Dynamic stability analysis of jointed rock slopes using the DDA method: King Herod’s Palace, Masada, Israel,” Int. J. Rock Mech. Min. Sci., 41, No. 5, 813–832 (2004).
3.
Y. P. Li, L. Z. Chen, and Y. H. Wang, “Experimental research on pre-cracked marble under compression,” Int. J. Solids Struct., 42, Nos. 9-10, 2505–2516 (2005).
4.
E. Z. Lajtai, “Shear strength of weakness planes in rock,” Int. J. Rock Mech. Min. Sci. Geomech. Abstr., 6, No. 5, 499–508, IN7–IN8, 509–515 (1969).
5.
E. Z. Lajtai, “Strength of discontinuous rocks in direct shear,” Géotechnique, 19, No. 2, 218–233 (1969).
6.
T. Savilahti, Rock Bridges in Jointed Rock Masses – State-of-the-Art, Research Report, Tulea (1988).
7.
T. Savilahti, E. Nordlund, and O. Stephansson, “Shear box testing and modelling of joint bridges,” in: N. Barton and O. Stephansson (Eds.), Rock Joints (Proc. of the Int. Symp. Rock Joints, June 4–6, 1990, Loen, Norway), Balkema, Rotterdam (1990), pp. 295–300.
8.
C. Li, O. Stephansson, and T. Savilahti, “Behaviour of rock joints and rock bridges in shear testing,” in: N. Barton and O. Stephansson (Eds.), Rock Joints (Proc. of the Int. Symp. on Rock Joints, June 4–6, 1990, Loen, Norway), Balkema, Rotterdam (1990), pp. 259–266.
9.
H. H. Einstein, D. Veneziano, G. B. Baecher, and K. J. O’Reilly, “The effect of discontinuity persistence on rock slope stability,” Int. J. Rock Mech. Min. Sci. Geomech. Abstr., 20, No. 5, 227–236 (1983).CrossRef
10.
O. Reyes and H. H. Einstein, “Failure mechanisms of fractured rock-a fracture coalescence model,” in: Proc. of the Seventh Int. Congr. on Rock Mechanics (Sept. 16–20, 1991, Aachen, Germany), Vol. 1 (1991), pp. 333–340.
11.
B. Shen, O. Stephansson, H. H. Einstein, and B. Ghahreman, “Coalescence of fractures under shear stress experiments,” J. Geophys. Res., 6, 5975–5990 (1996).
12.
A. Bobet, and H. H. Einstein, “Fracture coalescence in rock-type materials under uniaxial and biaxial compression,” Int. J. Rock Mech. Min. Sci., 35, 863–888 (1998).CrossRef
13.
R. H. C. Wong and K. T. Chau, “Crack coalescence in rock-like material containing two cracks,” Int. J. Rock Mech. Min. Sci., 35, 147–164 (1998).CrossRef
14.
R. H. C. Wong, K. T. Chau, C. A. Tang, and P. Lin, “Analysis of crack coalescence in rock-like materials containing three flaws – Part I: Experimental approach,” Int. J. Rock Mech. Min. Sci., 38, 909–924 (2001).CrossRef
15.
M. Sagong and A. Bobet, “Coalescence of multiple flaws in a rock-model material in uniaxial compression,” Int. J. Rock Mech. Min. Sci., 39, 229–241 (2002).CrossRef
16.
O. S. Mughieda and I. Khawaldeh, “Coalescence of offset rock joints under biaxial loading,” Geotech. Geol. Eng., 24, 985–999 (2006).CrossRef
17.
H. Haeri, K. Shahriar, M. F. Marji, and P. Moarefvand, “Experimental and numerical study of crack propagation and coalescence in pre-cracked rock-like disks,” Int. J. Rock Mech. Min. Sci., 67, 20–28 (2013).
18.
H. Haeri, K. Shahriar, M. F. Marji, and P. Moarefvand, “On the cracks coalescence mechanism and cracks propagation paths in rock-like specimens containing pre-existing random cracks under compression,” J. Central South Univ., 21, No. 6, 2404–2414 (2014).CrossRef
19.
H. Haeri, K. Shahriar, M. F. Marji, and P. Moarefvand, “Investigation of fracturing process of rock-like Brazilian disks containing three parallel cracks under compressive line loading,” Strength Mater., 46, No. 3, 404–416 (2014).CrossRef
20.
H. Haeri, K. Shahriar, M. F. Marji, and P. Moarefvand, “On the HDD analysis of micro crack initiation, propagation, and coalescence in brittle substances,” Arab. J. Geosci., 8, No. 5, 2841–2852 (2015).CrossRef
21.
H. Haeri, M. F. Marji, and K. Shahriar, “Simulating the effect of disc erosion in TBM disc cutters by a semi-infinite DDM,” Arab. J. Geosci., 8, No. 6, 3915–3927 (2015).CrossRef
22.
H. Haeri, “Propagation mechanism of neighboring cracks in rock-like cylindrical specimens under uniaxial compression,” J. Min. Sci., 51, No. 3, 487–496 (2015).CrossRef
23.
H. Haeri, “Simulating the crack propagation mechanism of pre-cracked concrete specimens under shear loading conditions,” Strength Mater., 47, No. 4, 618–632 (2015).CrossRef
24.
H. Haeri, A. Khaloo, and M. F. Marji, “Experimental and numerical simulation of the microcrack coalescence mechanism in rock-like materials,” Strength Mater., 47, No. 5, 740–754 (2015).CrossRef
25.
H. Haeri, A. Khaloo, and M. F. Marji, “Experimental and numerical analysis of Brazilian discs with multiple parallel cracks,” Arab. J. Geosci., 8, No. 8, 5897–5908 (2015).CrossRef
26.
L. Jing and J. A. Hudson, “Numerical methods in rock mechanics,” Int. J. Rock Mech. Min. Sci., 39, 409–427 (2002).CrossRef
27.
L. Jing, “A review of techniques, advances and outstanding issues in numerical modeling for rock mechanics and rock engineering,” Int. J. Rock Mech. Min. Sci., 40, 283–353 (2003).CrossRef
28.
D. L. Millar and J. A. Hudson, “Performance monitoring of rock engineering systems utilizing neural networks,” Trans. Inst. Min. Metal. A – Min. Ind., 103, A13–A16 (1994).
29.
A. T. C. Goh, “Back-propagation neural networks for modelling complex systems,” Artif. Intell. Eng., 9, No. 3, 143–151 (1995).CrossRef
30.
A. T. C. Goh, “Seismic liquefaction potential Assessed by neural networks,” J. Geotech. Eng., 120, No. 9, 1467–1480 (1995).CrossRef
31.
P. Sklavounos and M. Sakellariou, “Intelligent classification of rock masses,” in: G. Rzevski, R. A. Adey, and C. Tasso (Eds.), Applications of Artificial Intelligence in Engineering (Proc. of the Tenth Int. Conf. on Applications of Artificial Intelligence in Engineering, July, 1995, Udine, Italy), Computational Mechanics Publications (1995), pp. 387–393.
32.
Y. M. Najjar and I. A. Basheer, “Utilising computational neural networks for evaluating the permeability of compacted clay liners,” Geotech. Geol. Eng., 14, 193–212 (1996).
33.
S. Gangopadhyay, T. R. Gautam, A. D. Gupta, “Subsurface characterisation using artificial neural network and GIS,” J. Comput. Civil Eng., 13, No 3, 153–161 (1999).CrossRef
34.
J. H. Deng and C. F. Lee, “Displacement back analysis for a steep slope at the three gorges project site,” Int. J. Rock Mech. Min. Sci., 38, 259–268 (2001).CrossRef
35.
H.-C. Chang, D. C. Kopaska-Merkel, and H. C. Chen, “Identification of lithofacies using Kohonen self-organising maps,” Comput. Geosci., 28, No. 2, 223–229 (2002).CrossRef
36.
Y. Yang and M. S. Rosenbaum, “The artificial neural network as a tool for assessing geotechnical properties,” Geotech. Geol. Eng., 20, 149–168 (2001).CrossRef
37.
J. J. Hopfield, “Neural networks and physical systems with emergent collective properties,” P. Natl. Acad. Sci. USA, 79, No. 8, 2554–2558 (1982).CrossRef
38.
D. E. Rumelhart, “Learning representations by back-propagating errors,” Nature, 323, 533–536 (1986).CrossRef
39.
F. Rosenblatt, “The perceptron: a probabilistic model for information storage and organization in the brain,” Psychol. Rev., 65, 386–408 (1958).CrossRef
40.
I. Flood and N. Kartan, “Neural networks in civil engineering. I: Principles and understanding,” J. Comput. Civil Eng., 8, No. 2, 131–148 (1994).CrossRef
41.
S. Haykin, Neural Networks – A Comprehensive Foundation, Prentice-Hall (1994).
42.
K. Takeuchi, Mixed-Mode Fracture Initiation in Granular Brittle Materials, M.S. Thesis, Massachusetts Institute of Technology, Cambridge (1991).
43.
A. Ghazvinian, M. R. Nikudel, and V. Sarfarazi, “Determination of sliding path in rock slopes containing coplanar non-persistent open discontinuity,” World Appl. Sci. J., 3, No. 4, 577–589 (2008).
Metadaten
Titel
Analysis of Crack Coalescence in Concrete Using Neural Networks
verfasst von
H. Haeri
V. Sarfarazi
Z. Zhu
Publikationsdatum
08.02.2017
Verlag
Springer US
Erschienen in
Strength of Materials / Ausgabe 6/2016
Print ISSN: 0039-2316
Elektronische ISSN: 1573-9325
DOI
https://doi.org/10.1007/s11223-017-9831-2

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