Inversion Analysis Based on the Unloading Rock Mass of Underground Powerhouse Monitoring Achievements of Jin Ping Cascade Ⅱ Hydropower Station

摘要：

　　On the basis of unloading rock mass theory,we identify the excavated rock mass parameters by means of neural network training in each step,in which the subjective factors of the parameters selected process have largely been decreased.Through inducing the parameters of inversion into two-dimensional modeling,we aim to do the numerical simulation computing in various conditions.By comparison,the calculated displacement trend of the measuring points following the multi-point extensometers is basically identical with the monitoring displacement trend.

关键词： Unloading rock mass theory BP Neural Network Parameters inversion Two -dimensional finite element calculation

作者: Jie Liu Jian-lin Li Lei Xiao Shiwei Luo Jian Cai

作者单位: College of Civil & Hydropower Engineering, China Three Gorges University, Yichang, 443002, China;Wu College of Civil & Hydropower Engineering, China Three Gorges University, Yichang, 443002, China

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 1455-1459

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）