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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2023
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| 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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