Corotational Model for Cyclic Analysis of Light-Frame Wood Shear Walls and Diaphragms
Publication: Journal of Structural Engineering
Volume 139, Issue 8
Abstract
This paper presents a new two-dimensional shear-wall and diaphragm model developed as part of a Network for Earthquake Engineering Simulation (NEES) Project entitled NEES-Soft: Seismic Risk Reduction for Soft-Story Woodframe Buildings. A large portion of the older multistory buildings in the California region were constructed with a deficiency that makes them vulnerable to collapse in the first story during earthquakes. This deficiency is referred to as soft-story. The new model presented in this paper was developed using a corotational formulation, which makes it suitable for modeling the side-sway collapse of wood shear walls under large displacement as well as estimating the in-plane stiffness of floor diaphragms. To achieve high computational efficiency, a nodal condensation technique is used to eliminate the degrees of freedom (DOFs) associated with the nail connections from the global DOFs of the model. To verify the validity of the new model, the model was coded into a computer program and was used to analyze selected shear walls and diaphragms tested by various institutions and research programs. Good agreement was observed between the test and model-predicted backbone and cyclic curves for shear walls with various gravity loads and different anchorage conditions. The model is highly flexible and has been shown to be able to model older shear wall construction with horizontal sheathing boards and diagonal bracings.
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Acknowledgments
The material presented in this paper is based on work supported in part by the National Science Foundation under Grant No. CMMI-1041631. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The authors would also like to acknowledge Douglas Rammer from the Forest Products Laboratory for providing the test data used in this research.
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Published In
Journal of Structural Engineering
Volume 139 • Issue 8 • August 2013
Pages: 1303 - 1317
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Oct 22, 2011
Accepted: Feb 17, 2012
Published online: Feb 22, 2012
Published in print: Aug 1, 2013
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