Random finite element analysis of a clay-core-wall rockfill dam considering three-dimensional conditional random fields of soil parameters

被引:18
作者
Feng, Wenquan
Chi, Shichun
Jia, Yufeng [1 ]
机构
[1] Dalian Univ Technol, Inst Earthquake Engn, Dalian 116024, Peoples R China
关键词
Conditional random field; Random finite element method; Clay-core-wall rockfill dam; Spatial variability; PROBABILISTIC STABILITY ANALYSIS; RELIABILITY-ANALYSIS; SPATIAL VARIABILITY; UNCERTAINTY; REDUCTION; STRENGTH;
D O I
10.1016/j.compgeo.2023.105437
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Structural reliability and safety have been investigated using the random finite element method (RFEM) based on conditional random field (RF) by many researchers. However, the constraint RFEM has not been studied suffi-ciently to assess its influences on dam structural behaviours, especially in clay-core-wall rockfill dams. In this study, based on Kriging theory and in-situ measurements, a method is applied for constructing conditional RFs of dam material parameters. The results demonstrate that conditional RF has little effect on the mean values of maximum settlement, maximum deformation gradient and hydraulic fracture area ratio; relative to the uncon-ditional simulations, the relative differences are 1%, 3%, and 7%, respectively. By establishing an effective Kriging estimation, the standard deviations of conditional maximum settlement, maximum deformation gradient and hydraulic fracture area ratio are relatively reduced by 16%, 4%, and 24%, respectively. Thus, the conditional simulation can provide more accurate security estimations for the cumulative probabilities of the structural responses. Measurement layout has a great effect on variation accuracy of random structural responses. The measurements should be taken near the locations of the structural behaviours of interest so that the conditional RFs can more accurately represent the spatial variability of soil properties and reduce simulation variation.
引用
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页数:13
相关论文
共 41 条
[1]   Stochastic finite element analysis of rockfill dam considering spatial variability of dam material porosity [J].
Chen, Hui ;
Liu, Donghai .
ENGINEERING COMPUTATIONS, 2019, 36 (09) :2929-2959
[2]  
Chen J., 2020, ENG STRUCT, V211
[3]   Probabilistic assessment of slope failure considering anisotropic spatial variability of soil properties [J].
Chen, Longlong ;
Zhang, Wengang ;
Chen, Fuyong ;
Gu, Dongming ;
Wang, Lin ;
Wang, Zhenyu .
GEOSCIENCE FRONTIERS, 2022, 13 (03)
[4]   Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam [J].
Chi, Shichun ;
Feng, Wenquan ;
Jia, Yufeng ;
Zhang, Zongliang .
CASE STUDIES IN CONSTRUCTION MATERIALS, 2022, 17
[5]   Effects of spatial variability of soil properties on slope stability [J].
Cho, Sung Eun .
ENGINEERING GEOLOGY, 2007, 92 (3-4) :97-109
[6]  
DAVIS MW, 1987, MATH GEOL, V19, P91
[7]  
Der Kiureghian A., 1988, Probab Eng Eng Mech, V3, P83, DOI [DOI 10.1016/0266-8920(88)90019-7, 10.1016/0266-8920(88)90019-7]
[8]  
Eijnden A., 2010, CONDITIONAL SIMULATI
[9]   Probabilistic stability analysis of a tailings dyke on presheared clay-shale [J].
El-Ramly, H ;
Morgenstern, NR ;
Cruden, DM .
CANADIAN GEOTECHNICAL JOURNAL, 2003, 40 (01) :192-208
[10]   Three-dimensional probabilistic foundation settlement [J].
Fenton, GA ;
Griffiths, DV .
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2005, 131 (02) :232-239