Efficient progressive collapse analysis for robustness evaluation of buildings experiencing column removal

Progressive collapse analysis is used to evaluate robustness of buildings against unexpected extreme events and is a highly nonlinear dynamic problem. Motivated by the need for realistic and yet reasonably fast analysis, a “middle-way” approach for efficient progressive collapse analysis (ePCA) is e...

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Bibliographic Details
Published in:Journal of constructional steel research 2016-07, Vol.122, p.395-408
Main Authors: Tay, C.G., Koh, C.G., Liew, J.Y.R.
Format: Article
Language:English
Subjects:
Catastrophic collapse
Columns (structural)
Composite slab
Computational efficiency
Design analysis
Design engineering
Progressive collapse
Robustness
Shear connection
Slabs
Steel frame
Structural steels
Sudden column removal
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Summary:Progressive collapse analysis is used to evaluate robustness of buildings against unexpected extreme events and is a highly nonlinear dynamic problem. Motivated by the need for realistic and yet reasonably fast analysis, a “middle-way” approach for efficient progressive collapse analysis (ePCA) is explained in this paper, accounting for column buckling, semi-rigid connection and membrane action of slab. The accuracy of ePCA is validated by comparing with experimental results available in the literature. Application of ePCA on realistic building systems shows that robustness can be improved cost-effectively by introducing minor changes to the steel connection and slab reinforcement. The computational efficiency of this method enables incorporation of robustness design in building system in the early stage of design process. It can also be useful for researchers to more efficiently evaluate the behavior of different structural systems. •A reasonably fast and accurate methodology of practical progressive collapse analysis•Consistent modeling of main structural components by fiber section approach•Effects of floor slab are effectively accounted for by a modified grillage method.•Numerical study of column removal compares well with experimental finding.•Key design parameters governing robustness performance
ISSN:0143-974X
1873-5983
DOI:10.1016/j.jcsr.2016.04.010