Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis

被引：1

作者：

Yu, Huaichang ^{[1
,2
]}

Wang, Jialiang ^{[1
,2
]}

Cao, Li ^{[3
]}

Bai, Rui ^{[3
]}

Wang, Peng ^{[3
]}

机构：

[1] North China Univ Water Resources & Elect Power, Henan Prov Key Lab Rock & Soil Mech & Struct Engn, Zhengzhou, Peoples R China

[2] North China Univ Water Resources & Elect Power, Coll Geosci & Engn, Zhengzhou, Peoples R China

[3] Yunnan Dianzhong Water Divers Engn Co Ltd, Kunming, Peoples R China

来源：

FRONTIERS IN EARTH SCIENCE | 2023年 / 10卷

关键词：

Monte-Carlo random finite-difference analysis; random field; elastic modulus; cavern deformation; meshing accuracy; SPATIAL VARIABILITY; STABILITY ANALYSIS;

D O I：

10.3389/feart.2022.1041288

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Monte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures. However, two factors, namely, the fineness of the generated elements (reflected by the number of elements, N-e ) and the number of MC simulation iterations, N-MC , considerably affect the computational efficiency of this method, creating a barrier to its broad use in real-world engineering problems. Hence, an MCRFDA model of a circular underground cavern is developed in this study. The convergent deformation of the cavern is analyzed while considering the spatial variability distribution of the elastic modulus. Moreover, the effects of N-MC and N-e on random FD calculations are investigated. The results show the following. An N-MC greater than 500 is desirable for the FD analysis of a conventional structure. For a specific structure, N-e does not have a significant impact on the mean of the simulated values but appreciably affects the standard deviation (SD) of the simulated values, where reducing N-e increases the SD of the simulated values.

引用

页数：7