| 基于微粒群算法的大坝材料参数反分析研究 |
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| 引用本文： | 宋志宇,李俊杰. 基于微粒群算法的大坝材料参数反分析研究[J]. 岩土力学, 2007, 28(5): 991-994 |
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| 作者姓名： | 宋志宇 李俊杰 |
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| 作者单位： | 大连理工大学,土木水利学院,大连,116023 |
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| 摘 要： | 将微粒群算法应用于大坝参数反分析，同时分析了群体规模对算法的搜索效率和搜索质量的影响以及微粒群反分析算法的数值稳定性。对算例的分析结果表明，基于微粒群算法的大坝参数反分析方法简便易行，收敛精度高，且具有很好的抗噪音能力，是一种新的有效、可靠的参数反分析方法。
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| 关 键 词： | 微粒群算法 大坝 参数反分析 稳定性 |
| 文章编号： | 1000-7598-（2007）05-0991-04 |
| 收稿时间： | 2005-06-14 |
| 修稿时间： | 2005-06-14 |
Study of inverse method for dam parameters based on particle swarm optimization algorithm |
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| SONG Zhi-yu,LI Jun-jie. Study of inverse method for dam parameters based on particle swarm optimization algorithm[J]. Rock and Soil Mechanics, 2007, 28(5): 991-994 |
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| Authors: | SONG Zhi-yu LI Jun-jie |
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| Affiliation: | School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116023, China |
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| Abstract: | The particle swarm optimization(PSO) algorithm and the method of parameters inversion for gravity dam based on PSO algorithm were studied.According to this inverse method,the authors had analyzed its searching efficiency and quality at different population sizes;also evaluated its numerical stability.Results of computation example show that this method is simple and convenient;it has higher convergence accuracy and strong noise-resistant capability,so this inversion method for dam parameters is workable and reliable. |
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| Keywords: | PSO algorithm dam parameters inversion stability |
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