AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO<sub>2</sub> Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach

AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO<sub>2</sub> Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach

The construction industry urgently requires sustainable alternatives to conventional concrete to reduce its environmental impact. This study addresses this challenge by developing machine learning-optimized geopolymer concrete (GPC) using industrial waste fly ash as cement replacement. An integrated...

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Bibliographic Details
Main Authors: Muhammad Usman Siddiq, Muhammad Kashif Anwar, Faris H. Almansour, Muhammad Ahmed Qurashi, Muhammad Adeel
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
sustainability
fly ash
compressive strength
green and sustainable concrete
high performance concrete
CO<sub>2</sub> reduction
Online Access:https://www.mdpi.com/2075-5309/15/12/2081
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