Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model

Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model

Geopolymer concrete (GPC) is a sustainable alternative to conventional Portland cement concrete, utilising industrial by-products like fly ash (FA) and ground-granulated blast-furnace slag (GGBS). However, optimising GPC's compressive strength (CS) often requires costly and time-consuming exper...

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Bibliographic Details
Main Authors: Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Developments in the Built Environment
Subjects:
Chemistry-informed
Compressive strength
Convolutional neural network
Enhanced bat algorithm
Geopolymer concrete
Online Access:http://www.sciencedirect.com/science/article/pii/S266616592500136X
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