Assessment of Slope Stability Based on the Transferable Belief Model

摘要：

Monte Carlo Analysis has been an accepted numerical method for slope stability assessment, but the heavy computational complexity has always prevented its applications. In this paper, a simple and flexible method, as an alternative of Monte Carlo Analysis, is presented. Firstly, the random set formalisms of the input parameters variables of the Stability Discriminant Function (SDF) are constructed, and then, the random set formalism of the output variable of this function is determined through Extension Principle of Random Set. Secondly, the output random set is transformed to Pignistic cumulative distribution about the output variable by Transferable Belief Model (TBM).This cumulative distribution can be used to assess stability of slope, which is a reasonable approximation to the accurate probability cumulative distribution of the output variable. However, the computational complexity relates not to variances of variables, but to choices of random sets. So the proposed method can reduces the number of calculations required drastically. Finally, the advantage of the proposed method is demonstrated in an example of assessment of slope stability.

关键词： random set Pignistic probability transferable belief model slope stability Monte Carlo simulation

作者: XU Xiaobin XIA Bingduo WEN Chenlin

作者单位: College of Automatic Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China

会议类型: 国际会议

会议名称: The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)

会议地点: 杭州

会议语种:英文

页码: 2189-2197

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）