Technical Papers
Feb 1, 2017

Numerical Modeling of Thin-Walled Steel Roof Battens Subject to Pull-Through Failures

Publication: Journal of Structural Engineering
Volume 143, Issue 6

Abstract

Extensive damage to light gauge steel roofing systems caused by high wind events such as cyclones and storms has been a concern to the communities living in cyclone/storm prone areas over many years. In recent times, pull-through failures of roof battens occurring in their bottom flange to rafter or truss connection have become the main reason for severe roof failures. Therefore, a detailed experimental study was first undertaken using full-scale and small-scale tests to investigate the pull-through failures of roof battens subject to high wind uplift loads. However, since experimental tests can be expensive and time consuming, the ability to successfully use numerical models is imperative. Hence a detailed numerical study was undertaken by developing suitable finite-element models with the inclusion of a suitable failure criterion to predict the initiation of critical pull-through failures of roof battens that are associated with a tearing fracture around the screw fastener head edge. The overall load versus deformation behavior, ultimate failure loads, and failure modes were compared with the experimental results to validate the developed finite-element models. The ability of the validated finite-element models to accurately predict the pull-through failure loads of roof battens for other cases was evaluated by comparing relevant experimental results. This paper presents the details of this numerical study and the results.

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Acknowledgments

The authors would like to thank Australian Research Council for their financial support (DP120103366) and Queensland University of Technology for providing the necessary facilities to conduct this research.

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 143Issue 6June 2017

History

Received: Sep 1, 2015
Accepted: Oct 28, 2016
Published online: Feb 1, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 1, 2017

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Authors

Affiliations

Mayooran Sivapathasundaram
Ph.D. Researcher, Queensland Univ. of Technology, 2 George St., Brisbane City, QLD 4000, Australia.
Mahen Mahendran [email protected]
Professor, Queensland Univ. of Technology, 2 George St., Brisbane City, QLD 4000, Australia (corresponding author). E-mail: [email protected]

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