Prediction of the Compressive Strength of Vibrocentrifuged Concrete Using Machine Learning Methods

The determination of mechanical properties for different building materials is a highly relevant and practical field of application for machine learning (ML) techniques within the construction sector. When working with vibrocentrifuged concrete products and structures, it is crucial to consider fact...

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Bibliographic Details

Published in:	Buildings
Main Authors:	Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Alexey Kozhakin, Anton Pembek, Diana Elshaeva, Andrei Chernil’nik, Nikita Beskopylny
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	vibrocentrifuged concrete compressive strength prediction machine learning linear regression support vector regression random forest
Online Access:	https://www.mdpi.com/2075-5309/14/2/377