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

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
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
Series:Buildings
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

Internet

https://www.mdpi.com/2075-5309/14/2/377

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