土钉支护结构优化设计中的混合粒子群优化算法

为了在土钉支护设计中寻找一组最佳设计参数,以达到既经济又安全的目的,将混沌搜索的粒子群优化(PSO)算法应用到基坑土钉支护优化设计中,以单位长度土钉墙的土钉材料造价作为优化的目标函数。该方法保持了PSO算法结构简单的特点,改善了PSO算法的全局寻优能力,提高了算法的收敛速度和计算精度。同时,对不活动粒子的处理使算法避免了早熟现象的出现。工程实例计算表明:该方法是进行土钉支护结构优化设计的有效方法。

Hybrid particle swarm optimization algorithm in optimization design of soil-nail bracing

To find a set of optimization design parameters and obtain both economic and safe purpose,the hybrid particle swarm optimization(PSO) algorithm was used in optimization design of soil-nail bracing for deep excavations.The cost of soil-nail material in one unit length of wall was taken as the objective function.Authors incorporated chaos optimization algorithm into the PSO algorithm,and proposed a new PSO algorithm based on chaos searching.The proposed algorithm has not only the simple implement of original PSO algorithm,but also the fast convergence and high computational precision of chaos optimization algorithm.The result of experimentation shows that the proposed approach,which is indeed capable of obtaining higher quality solutions efficiently,can optimize the design of the soil-nail bracing,and it is effective.