Technical Papers
Feb 20, 2014

Computational Modeling of Steel Stud Wall Systems for Applications to Blast-Resistant Design

Publication: Journal of Structural Engineering
Volume 140, Issue 8

Abstract

Past research has shown that blast-loaded steel stud walls exhibit a range of different failure mechanisms depending on the stud and track section properties, connection details, and sheathing characteristics. To date, few studies have addressed the computational modeling of these systems. Because large-scale blast tests are expensive and logistically difficult, computational models are needed to evaluate different design options prior to carrying out full-scale experiments. In this paper, the authors present finite-element models that capture the peak load and deformation capacity of steel stud wall systems, accounting for the failure modes observed in past testing. The proposed models strike a balance between level of refinement and computational efficiency. These models were validated against data collected from an extensive laboratory testing program. Based on observations from both the lab tests and computational simulations, recommendations are given for improving the large-deformation response of these systems. Through simple and inexpensive design modifications, the capacity of steel stud walls can be made to far exceed existing response limits.

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References

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 140Issue 8August 2014

History

Received: Nov 23, 2012
Accepted: Sep 9, 2013
Published online: Feb 20, 2014
Discussion open until: Jul 20, 2014
Published in print: Aug 1, 2014

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Authors

Affiliations

Bryan Bewick [email protected]
P.E.
Project Engineer, Protection Engineering Consultants, 14144 Trautwein Rd., Austin, TX 78737; formerly, Air Force Research Laboratory. E-mail: [email protected]
Eric Williamson [email protected]
P.E.
M.ASCE
Professor, Dept. of Civil, Architectural and Environmental Engineering, Univ. of Texas at Austin, Austin, TX 78712 (corresponding author). E-mail: [email protected]

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