Multi-output machine learning for predicting the mechanical properties of BFRC

Multi-output machine learning for predicting the mechanical properties of BFRC

This investigation delves into the mechanical characteristics of Basalt Fiber Reinforced Concrete (BFRC), with a specific focus on compressive, flexural, and splitting tensile strengths. Employing a Multi-Output approach, six Machine Learning (ML) algorithms, namely Adaptive Boosting (AdaBoost), Lig...

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Bibliographic Details
Main Authors: Alireza Najmoddin, Hossein Etemadfard, Amirhossein Hosseini.S, Mansour Ghalehnovi
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Eco-friendly Concrete
Ensemble Learning
Sensitivity Analysis
Compressive Strength
Split Tensile Strength
Flexure Strength
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523009993

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http://www.sciencedirect.com/science/article/pii/S2214509523009993

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