结构可靠度的粒子群优化算法

Structural reliability analysis based on particles swarm optimization

根据可靠指标的几何意义,建立任意随机变量下结构可靠指标的优化模型,首次将粒子群优化算法 (PSO)引入到工程结构可靠度分析中．与传统算法比较,分析了PSO解决可靠指标优化模型的优点所在,并 以具体的工程为例研究PSO解决可靠指标优化模型的收敛过程．结果表明采用PSO具有很强的适用性,提 高了结构可靠度的计算效率．

On the basis of the geometrical meaning of structural reliability index, an optimum model for structural reliability analysis under arbitrary random variables was established and particles swarm optimization (PSO) was offered to settle the optimum model. The advantages of PSO were offered compared with traditional algorithm, and a project was illustrated to analysis the convergence course about PSO. The results show that PSO is feasible to solve the optimization problem of structural reliability index and improve the computed efficiency.