Investigating the effect of parameters on confinement coefficient of reinforced concrete using development of learning machine models

The current research aims to investigate the parameters’ effect on the confinement coefficient, Ks, forecast using machine learning. Because various parameters affect the Ks, a new computational model has been developed to investigate this issue. Six parameters are among the effective parameters bas...

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Bibliographic Details
Main Authors: Cheng, Gege, Lai, Sai Hin, A. Rashid, Ahmad Safuan, Ulrikh, Dmitrii Vladimirovich, Wang, Bin
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://eprints.utm.my/107239/1/AhmadSafuanA2023_InvestigatingtheEffectofParametersonConfinement.pdf
http://eprints.utm.my/107239/
http://dx.doi.org/10.3390/su15010199
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