Machine Learning and Regression Models for Evaluating Ultimate Performance of Cotton Rope-Confined Recycled Aggregate Concrete

Machine Learning and Regression Models for Evaluating Ultimate Performance of Cotton Rope-Confined Recycled Aggregate Concrete

This study investigates the use of cotton ropes (CRs) as a sustainable and cost-effective substitute for synthetic fiber-reinforced polymers for concrete confinement, offering significant environmental benefits such as lower CO<sub>2</sub> emissions and reduced energy consumption. The wo...

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Bibliographic Details
Main Authors: Kittipoom Rodsin, Ali Ejaz, Huaping Wang, Panumas Saingam, Panuwat Joyklad, Wasim Khaliq, Qudeer Hussain, Chichaya Boonmee
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Buildings
Subjects:
cotton
compressive behavior
recycled aggregates
neural networks
regression
Online Access:https://www.mdpi.com/2075-5309/15/1/64
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