Numerical verification of similar Cam-clay model based on generalized potential theory

作     者：钟志辉 杨光华 傅旭东 温勇 张玉成 ZHONG Zhi-hui;YANG Guang-hua;FU Xu-dong;WEN Yong;ZHANG Yu-cheng

作者机构：School of Civil and Architectural Engineering Wuhan University Guangdong Research Institute of Water Resources and Hydropower Geotechnical Engineering Technology Center of Guangdong Province Emergency Technology Research Center of Guangdong Province for Public Events 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2014年第21卷第12期

页      面：4707-4713页

核心收录：

学科分类：081401[工学-岩土工程] 08[工学] 0814[工学-土木工程] 

基　　金：Projects(51378131,51378403)supported by the National Natural Science Foundation of China Project(2012210020203)supported by the Fundamental Research Funds for the Central Universities,China 

主　　题：generalized potential theory similar Cam clay model modified Cam clay model numerical test PFC3D 

摘      要：From the mathematical principles, the generalized potential theory can be employed to create constitutive model of geomaterial directly. The similar Cam-clay model, which is created based on the generalized potential theory, has less assumptions,clearer mathematical basis, and better computational accuracy. Theoretically, it is more scientific than the traditional Cam-clay models. The particle flow code PFC3 D was used to make numerical tests to verify the rationality and practicality of the similar Cam-clay model. The verification process was as follows: 1) creating the soil sample for numerical test in PFC3 D, and then simulating the conventional triaxial compression test, isotropic compression test, and isotropic unloading test by PFC3D; 2)determining the parameters of the similar Cam-clay model from the results of above tests; 3) predicting the sample s behavior in triaxial tests under different stress paths by the similar Cam-clay model, and comparing the predicting results with predictions by the Cam-clay model and the modified Cam-clay model. The analysis results show that the similar Cam-clay model has relatively high prediction accuracy, as well as good practical value.