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首页> 外文期刊>Applied Mathematical Modelling >Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence
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Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence

机译：通过具有群体智能的新型支持向量机，使用替代模型进行边坡可靠性分析

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摘要

Surrogate model methods are attractive ways to improve the efficiency of Monte Carlo simulation (MCS) for structural reliability analysis. An intelligent surrogate model based method for slope system reliability analysis is presented in this study. The novel machine learning technique v-support vector machine (v-SVM) is adopted to establish the surrogate model to predict the factor of safety via the samples generated by Latin hypercube sampling. Global optimization algorithms particle swarm optimization and artificial bee colony algorithm are adopted to select the hyper-parameters of v-SVM model. The applicability of the v-SVM based surrogate model for slope system reliability analysis is tested on four examples with obvious system effects. It is found that the proposed surrogate model combined with MCS can achieve accurate system failure probability evaluation using fewer deterministic slope stability analyzes than other approaches.
机译：替代模型方法是提高蒙特卡洛模拟（MCS）进行结构可靠性分析的效率的有吸引力的方法。提出了一种基于智能代理模型的边坡系统可靠度分析方法。采用新颖的机器学习技术v-支持向量机（v-SVM）建立替代模型，以通过拉丁超立方体采样生成的样本预测安全系数。采用全局优化算法，粒子群算法和人工蜂群算法选择v-SVM模型的超参数。基于v-SVM的替代模型在边坡系统可靠性分析中的适用性在四个具有明显系统影响的示例上进行了测试。结果发现，与其他方法相比，所提出的替代模型与MCS组合可以使用较少的确定性边坡稳定性分析来实现准确的系统故障概率评估。

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  • 来源
    《Applied Mathematical Modelling》 |2016年第12期|6105-6120|共16页
  • 作者

    Fei Kang; Qing Xu; Junjie Li;

  • 作者单位

    Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China,State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, PR China;

    Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China;

    Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Slope reliability; Support vector regression; Spencer's method; Probabilistic analysis; Artificial bee colony algorithm;

    机译：边坡可靠性;支持向量回归;斯宾塞的方法;概率分析;人工蜂群算法;

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