| 贾大卫,吴子燕,王其昂.基于显示连通贝叶斯网络的机场塔台地震易损性分析[J].计算力学学报,2020,37(1):14~19 |
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| 基于显示连通贝叶斯网络的机场塔台地震易损性分析 |
| Earthquake fragility evaluation of air traffic control tower based on explicit connectivity Bayesian network |
| 投稿时间：2018-11-13 修订日期：2018-12-08 |
| DOI：10.7511/jslx20181113001 |
| 中文关键词: 机场塔台 多维易损性 显示连通贝叶斯网络 层次分析法 易损性曲线 |
| 英文关键词:air traffic control tower multidimensional fragility explicit connectivity Bayesian network Analytic Hierarchy Process fragility curve |
| 基金项目:国家自然科学基金（51708545）；西北工业大学研究生创意创新种子基金（ZZ2019121）资助项目. |
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| 中文摘要: |
| 将基于性能的多维易损性分析方法，结合显示连通贝叶斯网络，应用于机场塔台的多维易损性分析。考虑地震激励的不确定性，通过非线性时程分析获得结构响应数据；将塔台结构分为三个层次，每个层次按包含的层数分为相应的子层次。根据功能特性确定子层次的评价指标和极限状态，建立服从多元对数正态分布的概率地震需求模型；考虑各种极限状态之间的相关性，建立极限状态方程，确定失效域，通过蒙特卡洛法求得构件的超越概率；建立塔台结构的显示连通贝叶斯网络模型，利用层次分析法获得中间节点的条件概率表，利用MATLAB进行贝叶斯网络的推理计算，实现从单一层次的易损性到整体易损性的推理。 |
| 英文摘要: |
| This paper applies a performance-based multidimensional fragility analysis method with the combination of an explicit connectivity Bayesian network to the fragility evaluation of ATC towers.The uncertainty of the earthquakes as excitations is considered.The structural response data is obtained by the nonlinear time history analysis method.The whole tower structure is divided into three levels,and each level is further divided into corresponding sub-levels according to the number of storeys it includes.The damage index and the limit state of the components are determined and the probabilistic seismic demand model which obeys a multi-lognormal distribution is established.Considering the correlation between different limit states,the corresponding multi-dimensional limit state function is established,the corresponding failure domain is analyzed,and the probability of the failure of the component is calculated by Monte Carlo method.The explicit connectivity Bayesian network model of the ATC tower is established and the conditional probability tables of intermediate nodes are established by using Analytic Hierarchy Process.MATLAB is used to perform the inference calculation of the Bayesian network,which achieves the inference from the component fragility to the whole structural fragility. |
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