所属单位：

土木工程学院

发表刊物：

Applied Mechanics and Materials

关键字：

中文关键字：隧道与地下工程；围岩；反分析；参数优化；神经网络，英文关键字：

摘要：

Aiming at the complexity and uncertainty of rock and soil body, the paper proposed a tunnel surrounding rock parameters identification method combining numerical simulation, particle swarm optimization and artificial neural network. The method acquired data set between rock soil parameters and monitoring displacement and trained artificial neural network. The analytical theory and method are introduced in detail, analyzes the tunnel of Dalian Metro by the proposed method, and gets satisfied results. Which states that the parameters identification method based on PSO-ANN is feasible and has good foreground. © (2011) Trans Tech Publications, Switzerland.

备注：

宋战平

第一作者：

宋战平

论文类型：

期刊论文

卷号：

卷：94-96

期号：

期：

页面范围：

页：

是否译文：

否

发表时间：

2011-12-01