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标题：Assessment of the physical vulnerability of buildings affected by slow-moving landslides
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作者：Chen, Qin ; Chen, Lixia ; Gui, Lei 等
期刊名称：Natural Hazards and Earth System Sciences
电子版ISSN：2195-9269
出版年度：2020
卷号：20
期号：9
页码：2547-2565
DOI：10.5194/nhess-20-2547-2020
语种：English
出版社：Copernicus Publications
摘要：Physical vulnerability is a challenging and fundamental issue inlandslide risk assessment. Previous studies mostly focus on generalizedvulnerability assessment from landslides or other types of slope failures,such as debris flow and rockfall, while the long-term damage induced byslow-moving landslides is usually ignored. In this study, a method wasproposed to construct physical vulnerability curves for masonry buildings bytaking the Manjiapo landslide as an example. The landslide's force acting on thebuildings' foundation is calculated by applying the landslide residual-thrustcalculation method. Considering four rainfall scenarios, the buildings'physical responses to the thrust are simulated in terms of potentialinclination by using Timoshenko's deep-beam theory. By assumingthe landslide safety factor to be landslide intensity and inclination ratio to bevulnerability, a physical vulnerability curve is fitted and the relativefunction is constructed by applying a Weibull distribution function. Toinvestigate the effects of buildings' parameters that influencevulnerabilities, the length, width, height, and foundation depth and Young'smodulus of the foundation are analysed. The validation results on the casebuilding show that the physical vulnerability function can give a goodresult in accordance with the investigation in the field. The resultsdemonstrate that the building length, width, and foundation depth are thethree most critical factors that affect the physical vulnerability value. Also,the result shows that the higher the ratio of length to width of thebuilding, the more serious the damage to the building. Similarly, theshallower the foundation depth is, the more serious the damage will be. We hope that the established physical vulnerability curves can serve as tools forthe quantitative risk assessment of slow-moving landslides.