Stacking Ensemble-Based Machine Learning Model for Predicting Deterioration Components of Steel W-Section Beams

Stacking Ensemble-Based Machine Learning Model for Predicting Deterioration Components of Steel W-Section Beams

The collapse evaluation of the structural systems under seismic loading necessitates identifying and quantifying deterioration components (DCs). In the case of steel w-section beams (SWSB), three distinct types of DCs have been derived. These deterioration components for steel beams comprise the fol...

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Bibliographic Details
Main Authors:	A. Khoshkroodi, H. Parvini Sani, M. Aajami
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Buildings
Subjects:	deterioration components machine learning AdaBoost random forest XGBoost stacking
Online Access:	https://www.mdpi.com/2075-5309/14/1/240

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