Machine learning technique for the prediction of blended concrete compressive strength

Predicting concrete strength is complex due to the high non-linearity involved in strength development, especially when using supplementary cementitious materials (SCMs) such as fly ash, silica fume, and GGBS. In this paper, an artificial neural network has been used to predict the compressive stren...

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Bibliographic Details

Main Authors:	Jubori, Dawood S. A., Abu B., Nabilah, Safiee, Nor A., Alias, Aidi H., Nasir, Noor A. M.
Format:	Article
Published:	Korean Society of Civil Engineers 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/105757/ https://linkinghub.elsevier.com/retrieve/pii/S1226798824004306
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