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PRJ-2069 | Undergraduate Research Experience (REU), NHERI 2018: Predicting lateral resistance sharing between cold-formed steel framed shear and gravity walls
Cite This Data:
Hutchinson, T., F. Duffy, T. Hutchinson (2018). Undergraduate Research Experience (REU), NHERI 2018: Predicting lateral resistance sharing between cold-formed steel framed shear and gravity walls. DesignSafe-CI. https://doi.org/10.17603/DS2938D

Authors; ;
Date of Publication2018-08-24
Awards
NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office 1612144
KeywordsLarge High Performance Outdoor Shake Table, University of California San Diego, SAPWood Seismic Analysis Package for Woodframe Structures, MATLAB, hysteretic model, cold-formed steel
DOI10.17603/DS2938D
Description:

Generated a computational model to predict the hysteretic response of cold-formed steel framed shear and gravity walls subject to in-plane loading. The model was created using the Nail Pattern Analysis material within SAPWood software. Results indicate that the computational model is capable of predicting the lateral resistance capacity of a wall specimen within 3% accuracy.

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