Design-Oriented Model for Capturing the In-Plane Seismic Response of Partition Walls
Publication: Journal of Structural Engineering
Volume 140, Issue 6
Abstract
Using data generated from experiments, a numerical model is developed for capturing the in-plane seismic response of full-height cold-formed steel framed partition walls. The behavior of the partition wall is captured using a lumped nonlinear material model localized within a zero-length spring. The lumped material is developed with a pinching material used in a parallel configuration within the Open System for Earthquake Engineering Simulation (OpenSees) modeling platform. A simple, lumped model is utilized to facilitate ease of implementation in beam-column type finite element analyses commonly adopted in design of building structures. Importantly, its characteristics are determined by analyzing a large suite of experimental data on institutional and commercial type metal stud walls. Two error metrics based on calculation of the maximum force and half-cycle hysteretic energy are introduced to assess the model’s robustness. The model’s predictive capabilities are demonstrated via simulation of individual walls. In particular, for a fully-connected partition wall, a normalized mean model is shown to capture the experimental hysteretic behavior with a high level of accuracy.
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Acknowledgments
This project was supported by National Science Foundation Award #CMMI-0721399, “NEESR-Grand Challenge: Simulation of the Seismic Performance of Nonstructural Systems”, and IGERT Award #DGE-0966375, “Training, Research and Education in Engineering for Cultural Heritage Diagnostics.” The input of the NEES Nonstructural project management committee, namely Professors Manos Maragakis, Andre Filiatrault, and Steve French; Mr. Bill Holmes and Mr. Robert Reitherman is greatly appreciated. Experimental data used in the model calibration was provided by SUNY-Buffalo. We particularly thank Professors Andre Filiatrault and Gilberto Mosqueda, Dr. Rodrigo Retamales, and Mr. Ryan Davies for providing this data and assisting with its interpretation. Results are those of the authors and do not necessarily reflect opinions of the sponsoring agencies.
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Published In
Journal of Structural Engineering
Volume 140 • Issue 6 • June 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jul 16, 2012
Accepted: Jun 19, 2013
Published online: Mar 7, 2014
Published in print: Jun 1, 2014
Discussion open until: Aug 7, 2014
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