Undergraduate Research Experience (REU), NHERI 2018: Predicting lateral resistance sharing between cold-formed steel framed shear and gravity walls
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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.
创建时间：
2024-01-31
