Meta databases of steel frame buildings for surrogate modelling and machine learning-based feature importance analysis
Traditionally, nonlinear time history analysis (NLTHA) is used to assess the performance of structures under future hazards which is necessary to develop effective disaster risk management strategies. However, this method is computationally intensive and not suitable for analyzing a large number of...
Main Authors: | Delbaz Samadian, Imrose B. Muhit, Annalisa Occhipinti, Nashwan Dawood |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
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Series: | Resilient Cities and Structures |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772741623000716 |
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