Multiscale Random Fields-Based Damage Modeling and Analysis of Concrete Structures
Publication: Journal of Engineering Mechanics
Volume 145, Issue 7
Abstract
This paper provides a new approach to incorporating the stochastic nature of damage constitutive relations in the finite-element analysis of concrete structures. Within the framework of stochastic damage mechanics, the spatial variability of concrete was modeled as a two-scale stationary random field. At the microlevel, the damage evolution law of concrete was mapped to a random field corresponding to the microscopic fracture strain. At the macrolevel, the strength distribution of any concrete component forms a lognormally distributed random field. The connection between the two-scale random fields was established by a covariance constraint such that the scale of fluctuation of the random material property was satisfied in both scales. Taking advantage of the stochastic finite-element method, both the microscopic random damage evolution of concrete and the fluctuation of macroscopic structural responses can be numerically represented. Stochastic structural modeling and damage analyses for a conventional cantilever beam and a plane frame were carried out to illustrate the proposed method.
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Acknowledgments
Financial support from the National Natural Science Foundation of China (Grant Nos. 51261120374 and 51538010) is gratefully appreciated. The authors would like to thank Mr. Fernando Daniel Gomez Sanchez, Mr. Peisong Wu, and Dr. Gaston Andres Fermandois Cornejo for numerous helpful discussions and suggestions. The first author would like to acknowledge the financial support from the Postdoctoral Science Foundation of China (Grant No. 2018M640783).
References
Bažant, Z. P., and J.-L. Le. 2017. Probabilistic mechanics of quasibrittle structures: Strength, lifetime, and size effect. Cambridge, UK: Cambridge University Press.
Chen, J. B., J. R. He, X. D. Ren, and J. Li. 2018. “Stochastic harmonic function representation of random fields for material properties of structures.” J. Eng. Mech. 144 (7): 04018049. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001469.
Chen, J. B., W. L. Sun, J. Li, and J. Xu. 2013. “Stochastic harmonic function representation of stochastic processes.” J. Appl. Mech. 80 (1): 011001. https://doi.org/10.1115/1.4006936.
Contreras, H. 1980. “The stochastic finite-element method.” Comput. Struct. 12 (3): 341–348. https://doi.org/10.1016/0045-7949(80)90031-0.
Daniels, H. E. 1945. “The statistical theory of the strength of bundles of threads. I.” Proc. R. Soc. London, Ser. A 183 (995): 405–435. https://doi.org/10.1098/rspa.1945.0011.
Der Kiureghian, A., and P. L. Liu. 1986. “Structural reliability under incomplete probability information.” J. Eng. Mech. 122 (1): 85–104. https://doi.org/10.1061/(ASCE)0733-9399(1986)112:1(85).
Dougill, J. W. 1967. “A mathematical model for the failure of cement paste and mortars.” Mag. Concr. Res. 19 (60): 135–142. https://doi.org/10.1680/macr.1967.19.60.135.
Faria, R., J. Oliver, and M. Cervera. 1998. “A strain-based plastic viscous-damage model for massive concrete structures.” Int. J. Solids Struct. 35 (14): 1533–1558. https://doi.org/10.1016/S0020-7683(97)00119-4.
Feng, D. C. 2016. “Stochastic nonlinear analysis theory and reliability assessment of concrete structures.” Ph.D. dissertation, Dept. of Structural Engineering, Tongji Univ.
Fishman, G. S. 1978. Principles of discrete event simulation. New York: Wiley.
Guo, Z. H. 2013. Principles of reinforced concrete. [In Chinese.] 3rd ed. Beijing: Tsinghua University Press.
Halliwell, L. J. 2015. “The lognormal random multivariate.” In Casualty actuarial society E-forum. Philadelphia: Casualty Actuarial Society.
Johnson, G. R., and W. H. Cook. 1985. “Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures.” Eng. Fract. Mech. 21 (1): 31–48. https://doi.org/10.1016/0013-7944(85)90052-9.
Ju, J. W. 1989. “On energy-based coupled elastoplastic damage theories: Constitutive modeling and computational aspects.” Int. J. Solids Struct. 25 (7): 803–833. https://doi.org/10.1016/0020-7683(89)90015-2.
Kandarpa, S., D. J. Kirkner, and B. F. Spencer Jr. 1996. “Stochastic damage model for brittle materials subjected to monotonic loading.” J. Eng. Mech. 122 (8): 788–795. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:8(788).
Krajcinovic, D., and M. A. G. Silva. 1982. “Statistical aspects of the continuous damage theory.” Int. J. Solids Struct. 18 (7): 551–562. https://doi.org/10.1016/0020-7683(82)90039-7.
Law, A. M., and W. D. Kelton. 1991. Simulation modeling and analysis. 2nd ed. New York: McGraw-Hill.
Lee, J., and G. L. Fenves. 1998. “Plastic-damage model for cyclic loading of concrete structures.” J. Eng. Mech. 124 (8): 892–900. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:8(892).
Li, J., and J. B. Chen. 2007. “The number theoretical method in response analysis of nonlinear stochastic structures.” Comput. Mech. 39 (6): 693–708. https://doi.org/10.1007/s00466-006-0054-9.
Li, J., and J. B. Chen. 2009. Stochastic dynamics of structures. Singapore: Wiley.
Li, J., D. C. Feng, X. D. Ren, and Z. Y. Wan. 2017. “Calibration and application of concrete stochastic damage model.” [In Chinese.] J. Tongji Univ. (Nat. Sci. Ed.) 45 (8): 1099–1107. https://doi.org/10.11908/j.issn.0253-374x.2017.08.001.
Li, J., and X. D. Ren. 2009. “Stochastic damage model for concrete based on energy equivalent strain.” Int. J. Solids Struct. 46 (11): 2407–2419. https://doi.org/10.1016/j.ijsolstr.2009.01.024.
Li, J., J. Y. Wu, and J. B. Chen. 2014. Stochastic damage mechanics of concrete structures. [In Chinese.] Beijing: Science Press.
Li, J., and Q. Y. Zhang. 2001. “Study of stochastic damage constitutive relationship for concrete material.” [In Chinese.] J. Tongji Univ. (Nat. Sci. Ed.) 29 (10): 1135–1141. https://doi.org/10.3321/j.issn:0253-374X.2001.10.001.
Liu, H. K., X. D. Ren, and J. Li. 2018. “Indentation tests based multi-scale random media modeling of concrete.” Constr. Build. Mater. 168 (Apr): 209–220. https://doi.org/10.1016/j.conbuildmat.2018.02.050.
Liu, W. K., T. Belytschko, and A. Mani. 1986. “Probabilistic finite elements for nonlinear structural dynamics.” Comput. Methods Appl. Mech. Eng. 56 (1): 61–81. https://doi.org/10.1016/0045-7825(86)90136-2.
Lubliner, J., J. Oliver, S. Oller, and E. Onate. 1989. “A plastic-damage model for concrete.” Int. J. Solids Struct. 25 (3): 299–326. https://doi.org/10.1016/0020-7683(89)90050-4.
PEER (Pacific Earthquake Engineering Research Center). 2016. “Ground motion database.” Accessed February 13, 2016. https://ngawest2.berkeley.edu/.
Ren, X. D., S. J. Zeng, and J. Li. 2015. “A rate-dependent stochastic damage-plasticity model for quasi-brittle materials.” Comput. Mech. 55 (2): 267–285. https://doi.org/10.1007/s00466-014-1100-7.
Shinozuka, M., and G. Deodatis. 1991. “Simulation of stochastic processes by spectral representation.” Appl. Mech. Rev. 44 (4): 191–204. https://doi.org/10.1115/1.3119501.
Shinozuka, M., and C. M. Jan. 1972. “Digital simulation of random processes and its applications.” J. Sound Vib. 25 (1): 111–128. https://doi.org/10.1016/0022-460X(72)90600-1.
Simó, J. C., and J. W. Ju. 1987. “Strain- and stress-based continuum damage models—I: Formulation.” Int. J. Solids Struct. 23 (7): 841–869. https://doi.org/10.1016/0020-7683(87)90083-7.
Soong, T. T., and M. Grigoriu. 1993. Random vibration of mechanical and structural systems. Englewood Cliffs, NJ: PTR Prentice Hall.
Stefanou, G. 2009. “The stochastic finite element method: Past, present and future.” Comput. Methods Appl. Mech. Eng. 198 (9): 1031–1051. https://doi.org/10.1016/j.cma.2008.11.007.
Sudret, B., and A. Der Kiureghian. 2000. Stochastic finite element methods and reliability: A state-of-the-art report. Berkeley, CA: Univ. of California.
Vanmarcke, E., and M. Grigoriu. 1983. “Stochastic finite element analysis of simple beams.” J. Eng. Mech. 109 (5): 1203–1214. https://doi.org/10.1061/(ASCE)0733-9399(1983)109:5(1203).
Vanmarcke, E. H. 1979. On the scale of fluctuation of random functions. Cambridge, MA: Massachusetts Institute of Technology.
Vanmarcke, E. H. 2010. Random fields: Analysis and synthesis. Singapore: World Scientific.
Wu, J. Y., J. Li, and R. Faria. 2006. “An energy release rate-based plastic-damage model for concrete.” Int. J. Solids Struct. 43 (3): 583–612. https://doi.org/10.1016/j.ijsolstr.2005.05.038.
Xu, T. Z., and J. Li. 2018. “Assessing the spatial variability of the concrete by the rebound hammer test and compression test of drilled cores.” Constr. Build. Mater. 188 (Nov): 820–832. https://doi.org/10.1016/j.conbuildmat.2018.08.138.
Yamazaki, F., A. Member, M. Shinozuka, and G. Dasgupta. 1988. “Neumann expansion for stochastic finite element analysis.” J. Eng. Mech. 114 (8): 1335–1354. https://doi.org/10.1061/(ASCE)0733-9399(1988)114:8(1335).
Zeng, S. J., and J. Li. 2010. “Analysis on constitutive law of plain concrete subjected to uniaxial compressive stress based on generalized probability density evolution method.” [In Chinese.] J. Tongji Univ. (Nat. Sci. Ed.) 38 (6): 798–804. https://doi.org/10.3969/j.issn.0253-374x.2010.06.004.
Zhou, H. 2018. “Theoretical study on stochastic collapse analysis and anti-seismic global reliability of concrete structures.” Ph.D. dissertation, Dept. of Structural Engineering, Tongji Univ.
Zhou, H., J. Li, and X. D. Ren. 2016. “Multiscale stochastic structural analysis toward reliability assessment for large complex reinforced concrete structures.” Int. J. Multiscale Comput. Eng. 14 (3): 303–321. https://doi.org/10.1615/IntJMultCompEng.2016015745.
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©2019 American Society of Civil Engineers.
History
Received: Aug 29, 2018
Accepted: Dec 5, 2018
Published online: May 3, 2019
Published in print: Jul 1, 2019
Discussion open until: Oct 3, 2019
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