Publication Type |
poster |
School or College |
College of Engineering |
Department |
Civil & Environmental Engineering |
Creator |
Gaire, Prakash |
Other Author |
Ibarra, Luis |
Title |
Identification of main predictors of collapse capacity on steel buildings using several sensitivity analysis techniques |
Description |
The authors are grateful to Dr. Stephen Brown from Aprovechar Lab L3C for his valuable feedback on the implementation of ML methodologies. The investigation is based upon work supported under a U.S. National Science Foundation grant. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the fuding agency. |
Type |
Text |
Publisher |
University of Utah |
Subject |
seismic collapse prediction; feature importance; machine learning |
Language |
eng |
Rights Management |
(c) Prakash Gaire; Luis Ibarra |
Format Medium |
application/pdf |
ARK |
ark:/87278/s6xjs386 |
Setname |
ir_uspace |
ID |
2629794 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xjs386 |