Study on a new inversion method for non-uniform distribution of rock material parameters

被引：0
作者：
Jianing Wu
Xiaobin Yang
Yimin Song
Qiudi Sun
Yanyu Pei
机构：
[1] China University of Mining & Technology Beijing,School of Emergency Management and Safety Engineering
[2] North China University of Technology,School of Civil Engineering
来源：
Bulletin of Engineering Geology and the Environment | 2022年 / 81卷
关键词：
The digital speckle correlation method; The finite element model updating method; Non-uniform; Inversion; Material parameter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Combining the digital speckle correlation method (DSCM) with the finite element model updating (FEMU) method, a new inversion method of non-uniform distribution of rock material parameters is proposed to study the characteristics of non-uniform distribution of rock material parameters and its evolution with the loading process. The non-uniform displacement field of the specimen during experimental loading is calculated based on DSCM. Based on FEMU, the experimental loading process is simulated in finite element software ABAQUS. Under the initial conditions, different material parameters (elastic modulus and Poisson’s ratio) are given for each element according to Weibull distribution to calculate the non-uniform displacement field. The objective function is constructed by the difference between the experimental displacement field and the finite element simulation displacement field. The objective function is optimized and iterated by the genetic algorithm (GA) and the particle swarm optimization (PSO) algorithm to calculate the elastic modulus and Poisson’s ratio of the experimental specimen. The inversion method for non-uniform distribution of rock materials is applied to the uniaxial compression experiment of sandstone, and the non-uniform distribution of elastic modulus and Poisson’s ratio under different loading states is obtained. The inversion method for non-uniform distribution of rock material parameters proposed in this paper provides a basis for complex experiments or structural system parameter inversion.
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[1]  
Brown RJ(1975)On the dependence of the elastic properties of a porous rock on the compressibility of the pore fluid Geophysics 40 608-616
[2]  
Korringa J(2007)Generalization of Gassmann equations for porous media saturated with a solid material Geophysics 72 A75-A79
[3]  
Ciz R(2007)Elasto-plastic material parameter identification by inverse methods: calculation of the sensitivity matrix Int J Solids Struct 44 4329-4341
[4]  
Shapiro SA(2015)Constitutive parameter identification of 3D printing material based on the virtual fields method Measurement 54 4183-4200
[5]  
Cooreman S(2021)Experimental and numerical characterization of Lower Huron Shale as a heterogeneous material Rock Mech Rock Eng 269 4925-4945
[6]  
Lecompte D(2020)Numerical study on the progressive failure of heterogeneous geomaterials under varied confining stresses Eng Geol 53 121-133
[7]  
Sol H(2018)Uncertainty analysis in composite material properties characterization using digital image correlation and finite element model updating Compos Struct 113 82-94
[8]  
Vantomme J(2020)Modeling damage evolution in heterogeneous granite using digital image-based grain-based model Rock Mech Rock Eng 108 361-374
[9]  
Debruyne D(2019)A numerical study of stress variability in heterogeneous fractured rocks Int J Rock Mech Min Sci 129 undefined-undefined
[10]  
Dai XL(2019)Weibull linear parallel bond model (WLPBM) for simulating micro-mechanical characteristics of heterogeneous rocks Eng Anal Bound Elem undefined undefined-undefined
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