Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder

Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder

The purpose of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a partial replacement of cement and sand, based on the experimental data that was acquired from the laboratory tests. In order to accomplish the goal, the models of Su...

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Bibliographic Details
Main Authors: Nitisha Sharma, Mohindra Singh Thakur, Parveen Sihag, Mohammad Abdul Malik, Raj Kumar, Mohamed Abbas, Chanduveetil Ahamed Saleel
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Materials
Subjects:
concrete
compressive strength
flexural strength
support vector machines
gaussian processes
linear regression
Online Access:https://www.mdpi.com/1996-1944/15/17/5811

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https://www.mdpi.com/1996-1944/15/17/5811

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