A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data

A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data

Fly ash-based geopolymer (FAGP) is a promising supplementary cementitious material in the concrete industry, which can improve the sustainability and performance of concrete. This study will have made attempt to address the complexities involves in the concrete mix designs process with the aim of ac...

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Bibliographic Details
Main Authors: Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Fly ash-based geopolymer (FAGP)
Compressive strength
Machine learning models
Concrete mix designs
Sustainability
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525000063
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