Technical Papers
May 15, 2012

Progressive Collapse Analysis and Safety Assessment Method for Steel Truss Roof

Publication: Journal of Performance of Constructed Facilities
Volume 26, Issue 3

Abstract

Progressive collapse resulting from local failures in accident events have caused many tragedies and loss of life in the past. The structural integrity and capacity to resist collapse are gradually improving as an essential requirement in structural design practice. As one of typical systems in industrial facilities and large-scale public buildings, a truss roof with low redundancy differs from a load-bearing wall and frame system. In this paper, the robustness of the truss structures is studied by both nonlinear static and dynamic analysis. The mechanism of internal force redistribution is studied and the importance of the mechanism affecting the subsequent failure process after the initial loss of the member is revealed. A method for identifying the sensitive and key element is put forth, and a Safety Assessment Method (SAM) based on linear static analysis procedure is proposed to evaluate the sensitivity index and key index of structural members. By this method, the vulnerability of a truss structure can be predicted and enhancement of the necessary countermeasures needed to prevent progressive collapse can be adopted.

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Acknowledgments

The authors are pleased to acknowledge the support and contributions of the Specialized Research Fund for the Doctoral Program of Higher Education, SRFDP, China (20060247034).

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Information & Authors

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Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 26Issue 3June 2012
Pages: 230 - 240

History

Received: Jan 19, 2010
Accepted: Mar 24, 2011
Published online: May 15, 2012
Published in print: Jun 1, 2012

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Authors

Affiliations

Xiaofeng Jiang, Ph.D. [email protected]
Senior Engineer, State Key Laboratory of Disaster Reduction in Civil Engineering, 1239 Siping Rd., Shanghai, China, 200092; East China Architectural Design & Research Institute Co. Ltd, 151 Hankou Road, Shanghai, China, 200002. E-mail: [email protected]
Yiyi Chen, Ph.D. [email protected]
Professor, State Key Laboratory of Disaster Reduction in Civil Engineering, 1239 Siping Road, Shanghai, China, 200092 (corresponding author). E-mail: [email protected]

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