Technical Papers
Aug 11, 2012

Approach for Modeling Fire Insulation Damage in Steel Columns

Publication: Journal of Structural Engineering
Volume 139, Issue 4

Abstract

This paper presents an approach for modeling the fire insulation damage in steel columns. Both experimental and numerical studies were carried out to investigate the failure pattern and damage phenomenon of fire insulation on steel columns under monotonic and cyclic loads at ambient conditions. As part of the experiments, three fire-insulated steel columns were tested, and the horizontal load and displacement at the top of the column were monitored. The test results show that the adhesion of fire insulation with steel columns is generally weak and that the fire insulation peels off from the column surface under large moments induced at the ends of the column. Under cyclic loading, the adhesion of fire insulation weakens significantly because of the damage-accumulation effect. A finite-element model was developed to evaluate interlaminar stress between the steel plate and the fire insulation, and the effect of critical factors on insulation damage was studied. Results from experimental and numerical studies are utilized to develop an approach for modeling the fire insulation damage in steel columns. In this approach, two damage criteria, namely, maximum stress and distortion energy, are considered for evaluating the insulation damage and damage length. Results from case studies indicate that either of the damage criteria can be applied for evaluating insulation damage and also that both of the criteria predict similar damage patterns.

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Acknowledgments

The authors wish to acknowledge the support of the Specialized Research Fund for the Doctoral Program of Higher Education (20090191120032), Research Project of Natural Science Foundation of China (51008320), and Natural Science Foundation of Chongqing (CSTC, 2010BB4224). The support from Michigan State University through Strategic Partnership Grant No. 71-4434 is also greatly appreciated. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 139Issue 4April 2013
Pages: 491 - 503

History

Received: Nov 29, 2011
Accepted: Jul 24, 2012
Published online: Aug 11, 2012
Published in print: Apr 1, 2013

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Authors

Affiliations

Wei-Yong Wang
Associate Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400045, China.
Guo-Qiang Li
Professor, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji Univ., Shanghai 200092, China.
Venkatesh Kodur, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48824 (corresponding author). E-mail: [email protected]

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