An evaluation of modelling approaches and column removal time on progressive collapse of building
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Publication date
2019-022019-02
Keyword
Progressive collapseAbnormal loads
Modelling techniques
Impact
Explosions
Structural response
Sudden column loss
Rights
© 2018 Published by Elsevier Ltd. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.Peer-Reviewed
YesAccepted for publication
2018-07-15
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Show full item recordAbstract
Over the last few decades, progressive collapse disasters have drawn the attention of codified bodies around the globe; as a consequence, there has been a renewed research interest. Structural engineering systems are prone to progressive collapse when subjected to abnormal loads beyond the ultimate capacity of critical structural members. Sudden loss of critical structural member(s) triggers failure mechanisms which may result in a total or partial collapse of the structure proportionate or disproportionate to the triggering event. Currently, researchers adopt different modelling techniques to simulate the loss of critical load bearing members for progressive collapse assessment. GSA guidelines recommend a column removal time less than a tenth of the period of the structure in the vertical vibration mode. Consequently, this recommendation allows a wide range of column removal time which produces inconsistent results satisfying GSA recommendation. A choice of a load time history function assumed for gravity and the internal column force interaction affects the response of the structure. This paper compares different alternative numerical approaches to simulate the sudden column removal in frame buildings and to investigate the effect of rising time on the structural response.Version
Accepted ManuscriptCitation
Stephen D, Lam D, Forth J et al (2018) An evaluation of modelling approaches and column removal time on progressive collapse of building. Journal of Constructional Steel Research. 153: 243-253.Link to Version of Record
https://doi.org/10.1016/j.jcsr.2018.07.019Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.jcsr.2018.07.019