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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https://www.mdpi.com/2075-5309/14/1/240

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