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, K-s, forecast using machine learning. Because various parameters affect the K-s, a new computational model has been developed to investigate this issue. Six parameters are among the effective paramet...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/38978/ |
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