An ANN-RBF Method to Predict Shear Strength Parameters of Slope Rock Mass

摘要：

The selection of shear strength parameters is significant in the analysis of slope stability. In order to improve the reliability of numerical analysis, RBF neural network model is established to predict shear strength parameters of slope rock mass and a lot of engineering data are collected to train and examine the model. The shear strength parameters of a certain slope rock mass are predicted by the model, and the result is close to the in-situ shear tests. It indicates that the model is both reasonable and convenient.

关键词： rock mechanics back analysis shear strength parameters RBF neural network slope stability

作者: Zhang Zhi-zeng Zhang Jin-hu Hou Dong-qi Cheng Xiao-peng

作者单位: School of Civil Engineering and ArchitectureZhongyuan University of Technology Zhengzhou, China Chengdu Hydropower Investigation and Design Institute The Chinese Consultant Group Company of Hydrop

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 554-557

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）