考虑地震攻角的曲线梁桥易损性及通行能力评估  

Vulnerability and transportation capacity assessment of curved bridge considering seismic angle of attack effect

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作  者:郑妍[1] 李素超 徐颢 ZHENG Yan;LI Suchao;XU Hao(College of Computer Science and Technology,Heilongjiang Institute of Technology,Harbin 150050,China;School of Ocean Engineering,Harbin Institute of Technology(Weihai),Weihai 264209,China)

机构地区:[1]黑龙江工程学院计算机科学与技术学院,哈尔滨150050 [2]哈尔滨工业大学(威海)海洋工程学院,山东威海264209

出  处:《交通科技与经济》2023年第4期44-52,共9页Technology & Economy in Areas of Communications

基  金:山东省自然科学基金面上项目(ZR2020ME247);黑龙江工程学院基本科研业务费(创新团队类)项目(2019CX07)。

摘  要:为探究地震攻角对曲线梁桥地震易损性的影响,采用曲线梁桥参数化建模方法建立有限元模型,通过增量动力时程分析和概率地震需求分析生成桥梁-地震动样本对训练集、验证集和测试集。基于反向传播神经网络(BPNN)、宽界限法和串并联概率理论建立曲线梁桥构件—单体—网络三个层次的地震易损性快速计算和评估模型,对比分析地震攻角对曲线梁桥的易损性影响规律,并对区域桥梁网络震后通行能力进行快速评估。结果表明,地震攻角对曲线梁桥的动力响应、地震易损性影响明显,忽略地震攻角影响可能会对交通网络的震后通行能力评估带来较大误差。In order to study the seismic vulnerability of curved girder bridges in urban bridge networks under the attack-angle of earthquakes,the parametric modeling method of curved girder bridges is used to build finite element model.The training set,verification set and test set of the bridge-ground motion sample are generated through incremental dynamic analysis and probabilistic seismic demand analysis.Then,a three-level rapid seismic vulnerability evaluation methods for curved girder bridge components-system-network are proposed based on back-propagation neural network(BPNN),wide limit method and series-parallel theory,respectively.The influence of different ground attack angles on the vulnerability of curved girder bridges is analyzed and the post-earthquake traffic capacity assessment for regional bridge networks is carried out.The results show that the effect of earthquake angle of attack on the dynamic response and seismic vulnerability of curved girder bridges is relatively obvious.Ignoring the impact of earthquake angle of attack may bring large errors to the post-earthquake capacity assessment of traffic networks.

关 键 词:桥梁工程 地震易损性 地震攻角 人工神经网络 通行能力 

分 类 号:U443.2[建筑科学—桥梁与隧道工程]

 

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