防灾减灾工程学报2012，Vol.32Issue(3)：326-331,6.
一种基于BP网络和粒子群算法的拱坝可靠度分析方法
Structure Reliability Analysis of Arch Dam Based on Neural Network and Particle Swarm Optimization
摘要
Abstract
In order to calculate the reliability of large scale civil structure without explicit performance functions, a method combineding neural network with particle swarm optimization to analyze structure reliability is proposed in this paper. The structure mechanical analysis is carried out by ANSYS. The highly nonlinear mapping performance function is simulated by BP neural network. The penalty function and the particle swarm optimization are applied to evaluate the reliability index. A program based on the proposed method is developed by integrating Visual C++6- 0, standard APDL (Ansys Parametric Design Language) and mixed-language in MATLAB. Numerical examples show that the method can be used to evaluate the reliability of complex structure with implicit performance function.关键词
拱坝/结构可靠度/BP神经网络/粒子群优化算法Key words
arch dam/ structure reliability/ BP neural network/ particle swarm optimization分类
自科综合引用本文复制引用
黄连娣,冯新,周晶..一种基于BP网络和粒子群算法的拱坝可靠度分析方法[J].防灾减灾工程学报,2012,32(3):326-331,6.基金项目
国家自然科学基金重大研究计划培育项目(90915009)资助 （90915009）
