标题：Probabilistic framework to evaluate scenario-based building vulnerability under landslide run-out impacts

入藏号：WOS:001075064400001

中国科学院文献情报中心期刊分区： 地球科学1区/TOP（2022）

本校作者：孙小平；曾鹏；李天斌；许强；张琳

来源出版物：ENGINEERING GEOLOGY  卷: 325  文献号: 107274

出版年：2023

第一地址：成都理工大学

关键词：Building vulnerability; Landslide run-out impact; Building damage state; PDEM; Probabilistic analysis

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摘要：Quantifying building vulnerability under landslide run-out impacts is a pivotal aspect of landslide quantitativerisk assessment (QRA). The degree of loss of buildings exposed to landslides (i.e., vulnerability) is dictated by theinterplay between landslide run-out impacts and the resistance capacity of the building. However, the currentlink between landslide run-out and building capacity evaluations in landslide QRA is weak. Furthermore, uncertainties regarding both landslide run-out and building response must be quantified via suitable methods toenhance the trustworthiness of vulnerability evaluations. This study proposes a probabilistic framework toevaluate building vulnerability under landslide run-out impacts. The framework comprises a numerical model,which integrates dynamic run-out computations (for simulating the landslide run-out process) and finite elementcomputations (for evaluating the resistance capacity of the building under lateral loading), aiming to assess thedamage inflicted on buildings by landslide run-out impacts. Considering the uncertainties of the landslide runout process and building structural response, a probability density evolution method (PDEM) is employed tocalculate the exceedance probabilities of different limit states of building capacities. Ultimately, buildingvulnerability under landslide run-out impacts is ascertained by combining the probabilities of different damagestates with their respective loss ratios. The proposed methodology is illustrated in a scenario where a flow-typeloess landslide impacts a five-story reinforced-concrete (RC) frame building. The results indicate that the PDEMeffectively estimates the exceedance probabilities with tolerable computational errors. Moreover, the vulnerability results link the failure probability of landslides and the cost of building damage within the QRA frameworkof individual landslides whose run-out affects nearby buildings. 

文章链接地址: https://www.sciencedirect.com/science/article/pii/S0013795223002922?via%3Dihub