Physical vulnerability of reinforced concrete buildings under debris avalanche impact based on GF-discrepancy and DEM-FEM

Jian Pu, Yu Huang (), Zhen Guo, Yandong Bi, Chong Xu, Xingyue Li and Zhiyi Chen
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Jian Pu: Tongji University
Yu Huang: Tongji University
Zhen Guo: Tongji University
Yandong Bi: Tongji University
Chong Xu: National Institute of Natural Hazards, Ministry of Emergency Management of China
Xingyue Li: Tongji University
Zhiyi Chen: Tongji University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 3, No 18, 2597 pages

Abstract: Abstract Debris avalanches caused by landslides often lead to building damage, and insufficient research has been conducted on the vulnerability of buildings, especially reinforced concrete (RC) buildings, to such impact disasters. A vulnerability assessment framework for a two-story RC building based on the generalized F-discrepancy (GF-discrepancy)-based point selection strategy and discrete element method (DEM)-finite element method (FEM) is proposed. Considering the randomness of granular flow, including the impact height, impact velocity, and density of particle flow, these three random variables are uniformly sampled using GF-discrepancy, obtaining a total of 134 samples. A deterministic analysis of each sample is performed to obtain the responses of the 134 samples according to the DEM-FEM coupling method, which can fully reflect the failure characteristics of RC buildings under mass flow impact. Given the quantitative vulnerability assessment, we select the inter-story displacement ratio and the displacement of walls and columns in the responses as indicators defining the damage state of the building. The former is used to evaluate the overall damage state of the building, while the latter is applied to evaluate the local damage situation of the building as a correction to the first indicator. Ultimately, the vulnerability of the building is obtained corresponding to different impact intensities related to three random variables. This method provides not only the vulnerability of RC buildings under particle flow impact but also insight into vulnerability assessments of buildings in areas that are not currently in danger of such disasters.

Keywords: Physical vulnerability; RC building; Debris avalanches; GF-discrepancy; DEM-FEM (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-023-06294-2

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