The Slope Reliability Analysis Based on ANSYS Finite Element Simulation and Artificial Neural Network

摘要：

Finite element approach based on ANSYS together with artificial neuralnetwork is used to interpreter the structural reliability index and to generate sampling data as well as construct the response surface function by BP artificial neural network, thus working out the slope reliability index. This approach is based on methods of reliability which consists of Point Estimation, Monte Carlo, JC, Geometric method and the Response Surface method. However without the limit of the lack of accuracy in use of the quadratic function, the approach of Response Surface method first proposed by Wong in Which the quadratic polynomial is used to approximate fitting the slope limit state function and the JC is adopted to calculate the slope reliability index when faced with real geotechnical problem.

关键词： slope reliability index monte carlo response surface neural network quadratic polynomial ANSYS state function

作者: GUO Wei JIANG Deyi LI Fusheng ZHAO Mengsheng

作者单位: Key Laboratory of the Exploitation of Southwestern Resources & the Environmental Disaster Control En School of Civil Engineering and Architecture,Southwest Petroleum University,Chengdu 610500,Sichuan,C

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 2192-2196

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）