| 岩土工程弹塑性反分析的改进粒子群算法 |
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| 引用本文： | 李晓龙,王复明,李晓楠.岩土工程弹塑性反分析的改进粒子群算法[J].采矿与安全工程学报,2009,26(1). |
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| 作者姓名： | 李晓龙 王复明 李晓楠 |
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| 作者单位： | 1. 郑州大学,水利与环境学院,河南,郑州,450002
2. 中原工学院,计算机学院,河南,郑州,450007 |
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| 基金项目： | 国家杰出青年科学基金 |
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| 摘 要： | 为了克服常规粒子群算法(PSO)应用于岩土工程弹塑性反演时搜索效率较低、计算工作量大的缺点,通过对算法中适应值比较方式和粒子运动模式的深入分析,指出了其中存在的制约搜索效率的内在因素,并提出相应修改策略,在此基础上形成一种新的改进粒子群算法(IPSO);将新算法用于岩土材料弹塑性参数反演,结果表明,与常规粒子群算法相比,改进算法明显提高了参数的搜索效率,利用较少的迭代次数就能得到满足精度要求的结果,从而减小了岩土工程弹塑性反分析的计算量,是一种可行的参数反演方法.
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| 关 键 词： | 岩土工程 弹塑性反分析 粒子群算法 改进粒子群算法 搜索效率 |
Improved Particle Swarm Optimization for Elastoplastic Back Analysis in Geotechnical Engineering |
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| LI Xiao-long,WANG Fu-ming,LI Xiao-nan.Improved Particle Swarm Optimization for Elastoplastic Back Analysis in Geotechnical Engineering[J].Journal of Mining and Safety Engineering,2009,26(1). |
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| Authors: | LI Xiao-long WANG Fu-ming LI Xiao-nan |
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| Affiliation: | 1.School of Water Conservancy and Environment Engineering;Zhengzhou University;Zhengzhou;Henan 450002;China;2.Computer Institute;Zhongyuan University of Technology;Henan 450007;China |
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| Abstract: | In order to offset the disadvantages of low searching efficiency and large amount of calculation using traditional PSO for elastoplastic back analysis in geotechnical engineering,the comparison method of fitness value and the motion mode of individual particle of traditional PSO are analyzed and the internal factors which restrict searching efficiency pointed out.Then some corresponding improvement measures are proposed.On this basis,an improved PSO(IPSO) is put forward and used for elastoplastic parameters... |
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