High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Evaluations and Machine Learning Modelling

High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Evaluations and Machine Learning Modelling

Abstract This study investigates mechanical properties, durability performance, non-destructive testing (NDT) characteristics, environmental impact evaluation, and advanced machine learning (ML) modelling techniques employed in the analysis of high-strength self-compacting concrete (HSSCC) incorpora...

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Bibliographic Details
Main Authors: Md. Habibur Rahman Sobuz, Fahim Shahriyar Aditto, Shuvo Dip Datta, Md. Kawsarul Islam Kabbo, Jannat Ara Jabin, Noor Md. Sadiqul Hasan, Md. Munir Hayet Khan, S. M. Arifur Rahman, Mehernaz Raazi, Ahmad Akib Uz Zaman
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:International Journal of Concrete Structures and Materials
Subjects:
Sustainable high-strength self-compacting concrete
Marble powder
Mechanical properties
Machine learning modelling
Durability properties
Non-destructive characteristics
Online Access:https://doi.org/10.1186/s40069-024-00707-7

Internet

https://doi.org/10.1186/s40069-024-00707-7

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