Data-Driven Modeling of Lateral and Cracking Loads in Confined Masonry Walls Using Machine Learning

Confined masonry (CM) is becoming a widely adopted construction building method even in earthquake-prone regions due to its economic viability, construction simplicity, and material availability. However, existing empirical models for predicting lateral and cracking loads often fall short due to var...

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Hlavní autoři:	Hamza Mahamad Bile, Kadir Güler
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-12-01
Edice:	Buildings
Témata:	confined masonry walls machine learning extreme gradient boosting random forest lateral load capacity cracking load
On-line přístup:	https://www.mdpi.com/2075-5309/14/12/4016
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