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基于支持向量机代理模型的地铁施工诱发临近建筑扰动的参数全局敏感性分析 被引量:3

A global sensitivity analysis of building movements induced by tunnel excavating based on PSO-LSSVM meta-model
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摘要 运用傅里叶幅度灵敏度检验扩展法(EFAST)对在隧道建筑模型中影响建筑物安全的各项输入指标的全局敏感性进行评价.以武汉地铁二号线越江段为案例进行分析,验证了所提方法的实用性.运用确定性和随机有限元,得到了能精确描述隧道与建筑物之间相互关系的180组数据,因为进行全局敏感性分析需要大量的数据,采用支持向量机构建代理模型,将数据扩展成了有10 000组数据的数据集,用以进行全局敏感性分析.敏感性分析有助于增加管理人员的经验知识,以方便其采用正确的措施对类似的地铁隧道临近建筑施工的风险安全进行应对管理. The paper proposes a novel global sensitivity analysis method, namely extended Fourier ampli- tude sensitivity test(EFAST)algorithm, to explore the building disturbance induced by tunnel excavating. The Wuhan Yangtze River Metro Tunnel (WYRMT) is taken as a case study to verify the applicability of the proposed approachl The deterministic and stochastic FE model are used to develop the approximate re- lationship between the input and Output parameters with high level of accuracy; and then based on the sim- ulated data from FE model, a meta-model is constructed by support vector machine (SVM); 10,000 groups of data are generated by the meta-model, using for sensitivity analysis. Sensitivity analysis can help enhancing the knowledge of designers and aiding them to optimize the design or management scheme of the tunnel excavating when they are confronting the similar tunnels.
出处 《武汉大学学报(工学版)》 CAS CSCD 北大核心 2016年第6期871-878,共8页 Engineering Journal of Wuhan University
基金 国家自然科学基金项目(编号:51378235 71571078) 湖北省自然科学基金重点项目(编号:zrz2014000104) 教育部博士后基金(编号:2015M570645) 武汉市建委科技项目(编号:201334)
关键词 施工安全 全局敏感性 支持向量机 敏感性分析 construction safety global sensitivity support vector machine (SVM) sensitivity analysis
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