遗传算法在高桩墩台桩位优化上的应用

Application of genetic algorithms in optimization of pile layout of high-pile pier

良好的高桩墩台桩位设计可使结构更加经济、合理,然而桩位的设计过程通常需要耗费较大的人力劳动。通过Ansys有限元计算软件的APDL命令流将优化算法整合到模型计算与后处理之中,实现程序化自动优化特定荷载条件下的桩位布置。以一个遗传算法优化桩位布置的算例,介绍了遗传算法的优化过程以及优化参数对优化过程的影响,实现在极少的用时里优化出内力值较小的桩位。

A good design of the pile layout of a high-piled pier can make the structure more economical and reasonable.However,the design process of pile layout usually needs a lot of manpower.In this paper,the optimization algorithm is integrated into the calculation and post-processing through the APDL command flow of Ansys software,to realize automatic optimization of pile layout under specific load conditions.The optimization process of genetic algorithm and the influence of optimization parameters on the optimization process are introduced by taking an example of optimization of pile layout,to get an optimized pile layout with small internal force value in very few time.