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contributor authorConrado Praxedes
contributor authorXian-Xun Yuan
date accessioned2022-02-01T22:09:16Z
date available2022-02-01T22:09:16Z
date issued8/1/2021
identifier other%28ASCE%29ST.1943-541X.0003075.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272722
description abstractRobustness assessment is an important component for performance-based progressive collapse design. However, existing methods either do not consider the cascading failure feature of progress collapse, or fail to recognize the randomness in material, geometrical and loading parameters. This paper presents a novel robustness assessment methodology for progressive collapse design of reinforced concrete frames. The proposed methodology includes several novelties: First, it uses a new risk-based robustness index recently developed by the authors. The index quantifies the whole spectrum of risk caused by initiating hazardous events. Second, it includes a unique directional simulation technique, making probabilistic nonlinear pushdown analysis a computationally affordable task. Finally, the assessment can assist in determining if an enhancement design is warranted for such a low-probability-high-consequence event. The study examined four different frame designs to evaluate the effectiveness of seismic and progressive collapse design provisions. The Alternate Path Method (APM) was shown to improve structural robustness significantly, although achieved with considerable additional cost. Ductility designed for seismic loading was also shown to be beneficial for structural robustness against progressive collapse.
publisherASCE
titleRobustness Assessment of Reinforced Concrete Frames under Progressive Collapse Hazards: Novel Risk-Based Framework
typeJournal Paper
journal volume147
journal issue8
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0003075
journal fristpage04021119-1
journal lastpage04021119-14
page14
treeJournal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 008
contenttypeFulltext


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