Prediction of the drying shrinkage of alkali-activated materials using artificial neural networks

Prediction of the drying shrinkage of alkali-activated materials using artificial neural networks

Alkali-activated materials (AAMs) are qualitatively and quantitatively evaluated with an emphasis on the ultimate drying shrinkage. We systematically evaluated AAMs based on the mix design and curing conditions, utilizing a total of 452 AAM mixtures extracted from 44 papers. Finally, a predictive mo...

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Bibliographic Details
Main Authors: Y.K. Kong, Kiyofumi Kurumisawa
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Case Studies in Construction Materials
Subjects:
Alkali-activated materials
Artificial Neural Networks
Drying shrinkage
Mix design
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522002984

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