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| 基于知识推理和二阶振荡粒子群的桩基优化设计 |
| Pile foundation optimum design based on knowledge reasoning and second order oscillating particle swarm algorithm |
| 投稿时间：2016-12-07 修订日期：2017-02-23 |
| DOI： |
| 中文关键词: 知识推理 二阶振荡粒子群算法 桩基础优化设计 工程造价 |
| 英文关键词: knowledge reasoning second order oscillating particle swarm algorithm pile foundation optimum design construction cost |
| 基金项目:国家自然科学基金(No.41572252)；国家自然科学基金青年基金(No.51409036) |
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| 中文摘要: |
| 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,本文基于知识推理机制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,结合桩基规范设计约束条件,编制出桩基优化程序。最后以某十层实验教学楼为例进行分析,证明本优化算法的可行性。 |
| 英文摘要: |
| In order to assist designers to complete the pile foundation design work accurately and efficiently and reduce the construction cost, this article develop a pile foundation optimization design system based on knowledge reasoning and second order oscillating particle swarm algorithm. 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 were simplified according to the optimum pile length. Second order oscillation particle swarm optimization 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-story experimental teaching building is chosen as an example to prove the feasibility of the optimization algorithm. |
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