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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
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 Publication | 2018-08-24 |
Facilities | |
Awards | NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office 1612144 |
Keywords | Large High Performance Outdoor Shake Table, University of California San Diego, SAPWood Seismic Analysis Package for Woodframe Structures, MATLAB, hysteretic model, cold-formed steel |
DOI | 10.17603/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.