Back Analysis of Thermal Parameters of Roller Compacted Concrete Dam Based on Parallel Particle Swarm Optimization

摘要：

According to the randomness of thermal parameters of laboratory test and the defects of traditional back analysis method which is easy to fall into premature and has low efficiency and great computational complexity, the back analysis method based on parallel particle swarm optimization is developed. The back analysis steps of thermal parameters of mass concrete structure is demonstrated detailedly. When three-dimensional finite element relocating mesh method and improved BP neural network method are used to inverse thermal parameters based on the measured temperature, the parameters which reflect the true performance can be obtained. The results show that this method has a better stability and convergency and is feasible to inverse thermal parameters.

关键词： parallel particle swarm optimization back analysis three-dimensional finite element relocating mesh method measured temperature thermal parameter

作者: Xiaofei Zhang Shouyi Li Xianfeng Huai Bo Yang

作者单位: Xian University of Technology, Institute of Water Resources and Hydroelectric Engineering, Xian, C Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, Beiji Changjiang Institute of Survey, Planning, Design and Research, Construction Department, Hubei Provin

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: 2039-2042

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）