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Founded in 1904 and headquartered in Farmington Hills, Michigan, USA, the American Concrete Institute is a leading authority and resource worldwide for the development, dissemination, and adoption of its consensus-based standards, technical resources, educational programs, and proven expertise for individuals and organizations involved in concrete design, construction, and materials, who share a commitment to pursuing the best use of concrete.
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Home > Publications > International Concrete Abstracts Portal
The International Concrete Abstracts Portal is an ACI led collaboration with leading technical organizations from within the international concrete industry and offers the most comprehensive collection of published concrete abstracts.
Title: Risk Assessment of Reinforced Concrete Buildings Against Progressive Collapse
Author(s): Bing Xue and Jia-Liang Le
Publication: Special Publication
Appears on pages(s): 1-18
Keywords: stochastic simulation, progressive collapse, cohesive modeling, risk analysis.
Abstract:This paper presents a two-scale computational model for probabilistic analysis of the collapse behavior of reinforced concrete (RC) buildings subjected to local structural damage. In this model, structural members are modeled as elastic blocks connected by a set of nonlinear cohesive elements, which represents various damage zones that could potentially form during the collapse process. The random constitutive behavior of the cohesive element is determined by the fine-scale stochastic finite element simulations of the corresponding potential damage zone under different loading scenarios. The proposed model is validated through the numerical simulations of recent experiments on a RC frame subassemblage and two flat-slab systems. With the proposed model, a stochastic analysis is performed to investigate the probabilistic collapse behavior of a 10-story RC building under various initial damage scenarios, where the random material properties and gravity loading are sampled by using the Latin Hypercube Sampling (LHS) method. Through stochastic simulations, the occurrence probabilities of various collapse scenarios are calculated and the results are compared with those obtained by using the existing deterministic analysis method.
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