Robust Machine Learning Framework for Modeling the Compressive Strength of SFRC: Database Compilation, Predictive Analysis, and Empirical Verification

In recent years, the field of construction engineering has experienced a significant paradigm shift, embracing the integration of machine learning (ML) methodologies, with a particular emphasis on forecasting the characteristics of steel-fiber-reinforced concrete (SFRC). Despite the theoretical soph...

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Bibliographic Details
Main Authors: Yassir M. Abbas, Mohammad Iqbal Khan
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/16/22/7178