Prediction of Elastic Modulus for Fibre-Reinforced Soil-Cement Mixtures: A Machine Learning Approach

Prediction of Elastic Modulus for Fibre-Reinforced Soil-Cement Mixtures: A Machine Learning Approach

Soil-cement mixtures reinforced with fibres are an alternative method of chemical soil stabilisation in which the inherent disadvantage of low or no tensile or flexural strength is overcome by incorporating fibres. These mixtures require a significant amount of time and resources for comprehensive l...

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Bibliographic Details
Main Authors:	Dominic Owusu-Ansah, Joaquim Tinoco, António A. S. Correia, Paulo J. Venda Oliveira
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Applied Sciences
Subjects:	soil-cement mixtures reinforced soil fibres machine learning elastic modulus
Online Access:	https://www.mdpi.com/2076-3417/12/17/8540

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