基于 PSO-PP 的边坡稳定性评价

徐 飞; 徐卫亚; 刘造保; 刘 康

基于 PSO-PP 的边坡稳定性评价 English Version

(1. 海南省公路勘察设计院，海南海口 570206 ； 2. 河海大学岩土工程科学研究所，江苏南京 210098 ； 3. 中国水电顾问集团成都勘测设计研究院，四川成都 610072 )

基金项目: 国家科技支撑计划项目（ 2008BAB29801 ）；江苏省普通高校研究生科研创新计划项目（CX09B-158Z）

详细信息

作者简介:
徐飞 (1983 – ) ，男，浙江衢州人，博士，从事岩土工程稳定性评价研究。。

中图分类号: TU443
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出版历程
- 发布日期: 2011-11-14

Slope stability evaluation based on PSO-PP

(1. Hainan Highway Survey and Design Institute, Haikou 570206, China; 2. Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China; 3. Chengdu Hydroelectric Investigation and Design Institute of CHECC, Chengdu 610072, China)

摘要

摘要: 边坡的稳定性评价是一个复杂的不确定系统问题。结合投影寻踪算法、粒子群优化算法和逻辑斯谛曲线函数，建立了边坡稳定性评价的粒子群优化投影寻踪模型 (PSO-PP) 。该模型一方面利用粒子群算法 (PSO) 优化投影指标函数及逻辑斯谛曲线函数参数，确保了模型参数的准确性；另一方面利用逻辑斯谛曲线函数建立投影值与经验等级之间的非线性关系。模型的测试结果显示了良好的精度。将该模型应用到雅砻江锦屏一级水电站左岸边坡的稳定性分析中，实例分析结果与实际状态吻合较好，表明该模型在边坡稳定性评价中的可行性和有效性。
- 边坡 /
- 稳定性 /
- 投影寻踪 /
- 粒子群 /
- 逻辑斯谛曲线
Abstract: Evaluation of slope stability is a complex system problem with uncertainties. Based on the projection pursuit (pp), the particle swarm optimization (PSO) and the logistic curve function (LCF), a new model for evaluation of slope stability is developed, which is referred as projection pursuit based on particle swarm optimization (PSO-PP). The model, on the one hand, uses PSO to optimize the projection index function and the parameters of LCF. Thus it will ensure the accuracy of the parameters used in the model. On the other hand, the nonlinear relationship between projection values and empirical grades is established according to LCF. The test results show that the proposed model has good precision. In this study, the evaluation results obtained by applying the developed model to Jinping I Hydropower station on the Yalong River are well consistent with the practical situation. It indicates that the model is feasible and effective in the evaluation of slope stability.
- slope /
- stability /
- projection pursuit /
- particle swarm optimization /
- logistic curve function

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参考文献(16)

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