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原文传递 Stochastic Computational Model for Progressive Collapse of Reinforced Concrete Buildings
题名: Stochastic Computational Model for Progressive Collapse of Reinforced Concrete Buildings
正文语种: 英文
作者: Bing Xue, S.M.ASCE;Jia-Liang Le, M.ASCE
作者单位: Univ, of Minnesota
关键词: Structural collapse; Risk analysis; Stochastic simulation; Reinforced concrete; Analysis and computation.
摘要: A two-scale numerical model is developed to investigate the probabilistic collapse behavior of reinforced concrete (RC) buildings subjected to local structural damage. In this model, a set of coarse-scale cohesive elements is used to model the failure of potential damage zones in various RC structural members. The constitutive properties of the cohesive elements and their probability distributions are determined from detailed stochastic finite element simulations of the potential damage zones by taking into account the uncertainties in various material properties. The two-scale model is validated both ex peri mentally and numerically for different structural subassemblages. The model is then applied to study the collapse behavior of a prototype ! 〇・story RC building subjected to sudden column removal using both deterministic and probabilistic analysis frameworks. The deterministic calculation uses the mean material properties and the factored gravity loads according to the Unified Facilities Criteria (UFC) guidelines. The stochastic calculation considers uncertainties in both gravity loads and material properties, from which the occurrence probabilities of different collapse extents are determined. The results of the present probabilistic analysis are discussed in comparison with the existing deterministic approach, which reveals the important role of probabilistic methods in the analysis of progressive collapse. DOI: 10.106l/(ASCE)ST.1943-541X.0001485. © 2016 American Society of Civil Engineers.
出版日期: 2016.07
出版年: 2016
期刊名称: Journal of Structural Engineering
卷: Vol.142
期: NO.07
页码: 04016031
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