Data-driven axial compressive strength investigation of FRP-confined coral aggregate concrete
This study utilizes machine learning (ML) method to investigate the axial compressive strength of fiber-reinforced polymer (FRP)-confined coral aggregate concrete (CAC). A dataset comprising 115 samples is created, and eight input features are selected for developing and evaluating ML models. Beside...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525008630 |
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