Identification of main predictors of collapse capacity on steel buildings using several sensitivity analysis techniques

Update Item Information
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
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