李宏男

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:中国地震局工程力学研究所

学位:博士

所在单位:土木工程系

学科:结构工程. 防灾减灾工程及防护工程

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Damage risk assessment of a high-rise building against multihazard of earthquake and strong wind with recorded data

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论文类型:期刊论文

发表时间:2019-12-01

发表刊物:ENGINEERING STRUCTURES

收录刊物:EI、SCIE

卷号:200

ISSN号:0141-0296

关键字:Multihazard; Probabilistic multi-hazard analysis (PMHA); High-rise building; Fragility; Damage risk

摘要:The high-rise buildings designed with a long lifetime may be exposed to one or more extreme hazards. Traditionally, specifications separately treated the multiple extreme hazards according to the controlling load case. Thus, the ability of high-rise buildings designed by the current codes to face the combined threats of earthquake and wind is rather vague. This paper presents a multihazard-based framework to assess the damage risk of a high-rise building subjected to earthquake and wind hazards separately and concurrently, which can be broken into three parts: the modeling of hazards, the structural fragility analysis and the damage probability computation. Firstly, based on the earthquake and wind data from 1971 to 2017 recorded in the Dali region of China, the hazard curves of single earthquake and wind, and the copula-based surface of bi-hazards are well established. Secondly, the multihazard-based fragility analysis of a high-rise building in Dali Prefecture is performed with the consideration of various load conditions. Lastly, upon completing the hazard models and fragility analyses, quantifications of the damage probabilities for the separate and concurrent hazards are determined directly. Numerical results indicate that the damage probability and contributions of each hazard circumstance are sensitive to damage severity. Furthermore, the damage probability induced by the bi-hazards dominates the total probability under most damage states conflicted with the common assumptions presented in the available researches. The comprehensive application highlights the necessity of examining the responses of high-rise buildings subjected to multihazard. The potential of the presented framework is of great help for decision-making.