基于知识推理和二阶振荡粒子群算法的桩基础优化设计

为辅助设计者准确高效地完成桩基础设计工作,降低工程造价,基于知识推理和二阶振荡粒子群算法开发出一套桩基础优化设计系统.系统通过结合C#语言和CLIPS推理机实现桩基础埋深推理功能,进而求出当前场地条件下的最优桩长.选择以工程造价为目标函数设计优化数学模型,根据已知的最优桩长简化优化变量.选用二阶振荡粒子群算法作为优化算法,结合桩基础规范设计约束条件,编制出桩基础优化程序.最后以某十层实验教学楼为例进行分析,证明了本优化算法的可行性.

Pile foundation optimum design based on knowledge reasoning and second order oscillating particle swarm algorithm

In order to assist designers to complete pile foundation design work efficiently and reduce the construction cost, a pile foundation optimization design system based on knowledge reasoning and the second order oscillating particle swarm algorithm is developed. By combining C# language and CLIPS inference engine, the system can realize the reasoning function of pile foundation depth and find out the optimum pile length under current site condition. The objective function of optimum mathematical model is designed based on the construction cost, and the optimum variables are simplified according to the optimum pile length. The second order oscillating particle swarm algorithm is selected as the optimization algorithm, and the pile foundation optimization program is worked out according to the constraints of code for pile foundation design. Finally, a ten-storey experimental teaching building is chosen as an example to prove the feasibility of the optimization algorithm.