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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Bibliographic Details

Published in:	Case Studies in Construction Materials
Main Authors:	Chang Zhou, Kai-Di Peng, Yu-Lei Bai
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Coral aggregate concrete FRP Confinement Axial compressive strength Machine learning Model explanation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214509525008630