• 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引(EI)收录期刊
  • Scopus数据库收录期刊
徐 飞, 徐卫亚, 刘造保, 刘 康. 基于 PSO-PP 的边坡稳定性评价[J]. 岩土工程学报, 2011, 33(11): 1708-1713.
引用本文: 徐 飞, 徐卫亚, 刘造保, 刘 康. 基于 PSO-PP 的边坡稳定性评价[J]. 岩土工程学报, 2011, 33(11): 1708-1713.
XU Fei, XU Wei-ya, LIU Zao-bao, LIU Kang. Slope stability evaluation based on PSO-PP[J]. Chinese Journal of Geotechnical Engineering, 2011, 33(11): 1708-1713.
Citation: XU Fei, XU Wei-ya, LIU Zao-bao, LIU Kang. Slope stability evaluation based on PSO-PP[J]. Chinese Journal of Geotechnical Engineering, 2011, 33(11): 1708-1713.

基于 PSO-PP 的边坡稳定性评价

Slope stability evaluation based on PSO-PP

  • 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。

     

    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.

     

/

返回文章
返回