Modelling seismic fragility of a rock mountain tunnel based on support vector machine
Modelling seismic fragility of a rock mountain tunnel based on support vector machine
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基于支持向量机的岩山隧道地震易损性建模
DOI：
10.1016/j.soildyn.2017.09.002
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发表时间：
2017-11-01
影响因子：
4
通讯作者：
Zhang, Junru
中科院分区：
文献类型：
--
作者：
Huang, Guang;Qiu, Wenge;Zhang, Junru
本文提出了一种开展岩山隧道地震易损性分析的分析方法。在脆弱性分析中，我们考虑了四种不确定性因素，包括不同的地面运动、隧道深度、岩体和衬砌厚度。采用均匀设计方法（UDM），生成数值实验样本。利用已验证的动态数值模拟（DNS）模型建立了概率地震需求模型。在对传统预测方法进行优化的基础上，引入了支持向量机预测技术。支持向量机模型有助于减少计算资源。结果表明：(1)统一设计-动态数值模拟-支持向量机（UDM-DNS-SVM）方法能够提供考虑多重不确定性的准确易损性估计曲线；(2)通过脆弱性曲线、案例分析和经验曲线的比较，验证了脆弱性曲线的可行性。
In the paper, an analytical method is proposed to develop seismic fragility analysis for rock mountain tunnels. We consider four types of uncertainties in the fragility analysis including different ground motions, tunnel depths, rock mass and lining thickness. By using the uniform design method (UDM), numerical experiment samples are generated. The verified dynamic numerical simulation (DNS) model is carried out to develop probabilistic seismic demand models. To optimize conventional methodology, a prediction technique support vector machine (SVM) is employed. The SVM model could help to reduce calculation resource. It is concluded that (1) the proposed uniform design-dynamic numerical simulation-support vector machine (UDM-DNS-SVM) method could provide accurate estimated fragility curves considering multiple uncertainties; (2) comparisons among the proposed fragility curves, case studies and empirical curves verified feasibility of proposed fragility curves.