摘要
随着我国城市化进程的加快,城市变得越发复杂而脆弱,面临着日益严峻的地震灾害风险。快速精准的建立复杂城市系统的地震灾害情景对防灾减灾具有重要意义。传统的基于结构震害矩阵的灾害情景构建方法,计算简便、迅速,但难以充分考虑地震动与结构特性;基于结构弹塑性时程分析的相对精细化震害模拟方法,可进一步考虑地震动和结构特性差异的影响,但计算量大。文中基于地震动库与震害模拟数值平台(城市震害模拟器)建立大量城市地震灾害情景,并采用不同匹配算法直接寻找与目标地震动最匹配的情景。地震灾害情景匹配方法保留了弹塑性时程分析模拟的优点,而匹配计算时间相较于非线性时程分析大幅减少,非常适用于精细化的应急快速评估。文中给出了3种地震灾害情景匹配算法,包括单波法、多波拼接法以及多波叠加法,并对其特点和有效性进行了分析与探讨,算例的对比分析表明,文中建议的地震灾害情景匹配的方法具有较好可行性,而3种匹配算法中多波拼接法效果最优。
Due to a long process of urbanization,cities have become more complex and vulnerable,facing with increasing risk of severe earthquake disaster.It is of great significance for disaster prevention and reduction to perform urban seismic scenarios in a more efficient and precise way.The damage matrix based traditional seismic damage evaluation methods are simple for calculation but difficult to fully reflect the features of the ground motions and structures.The nonlinear history analysis based methods can fully take the characteristics of the ground motions and structures into account but need more computational cost.In this study,a large number of urban earthquake disaster scenarios are established based on the ground motion database and earthquake disaster simulation platform(YouSimulator),and different matching algorithms are used to search and form the scenario that is most matching with the target ground motion.This method based on the matching of scenario not only has the advantages from the nonlinear time history analysis,but also significantly reduce the computing time,so it is more suitable for the post-earthquake rapid emergency assessment.Three matching algorithms are presented,including the single wave matching algorithm,multiple waves splicing matching algorithm and multiple waves combination matching algorithm.The performance and effectiveness of the algorithms are examined and demonstration examples are given to make comparative analysis.The results show that the seismic scenario matching method is feasible,and the method based on multiple waves splicing matching algorithm has the best performance.
作者
陈夏楠
张令心
林旭川
陆新征
CHEN Xianan;ZHANG Lingxin;LIN Xuchuan;LU Xinzheng(Institute of Engineering Mechanics of China Earthquake Administration,Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration,Harbin 150080,China;Department of Civil Engineering,Tsinghua University,Beijing 10086,China)
出处
《地震工程与工程振动》
CSCD
北大核心
2021年第2期76-83,共8页
Earthquake Engineering and Engineering Dynamics
基金
中国地震局工程力学研究所基本科研业务费专项(2017QJGJ04)
国家重点研发计划项目(2018YFC1504401)
国家自然科学基金项目(U1939210)。
关键词
城市震害
建筑群
地震动库
灾害情景
匹配算法
urban earthquake disaster
buildings
ground motion database
seismic scenario
matching algorithm
