An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete

• Main Authors: Md. Habibur Rahman, Sobuz, Mita, Khatun, Md. Kawsarul Islam, Kabbo, Norsuzailina, Mohamed Sutan
• Format: Article
• Language: English
• Published: Springer Nature Switzerland AG 2024
• Subjects: TA Engineering (General). Civil engineering (General); TH Building construction
• Online Access: http://ir.unimas.my/id/eprint/46734/2/An%20explainable%20machine%20learning%20model%20for%20encompassing.pdf; http://ir.unimas.my/id/eprint/46734/; https://link.springer.com/article/10.1007/s42107-024-01230-6?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20241128&utm_content=10.1007%2Fs42107-024-01230-6; https://doi.org/10.1007/s42107-024-01230-6

Polymer-modifed concrete (PMC) is an advanced building material with more excellent durability, tensile strength, adhesion, and lesser susceptibility to chemical degradation. Recent developments in machine learning (ML) have shown that predic�tion of compressive strength (CS) of PMC key input factor...