Thermal Damage Characterization and Modeling in Granite Samples Subjected to Heat Treatment by Leveraging Machine Learning and Experimental Data

Thermal Damage Characterization and Modeling in Granite Samples Subjected to Heat Treatment by Leveraging Machine Learning and Experimental Data

High temperatures significantly affect the physical and mechanical properties of rocks in deep geoengineering projects, such as geothermal development, deep mining, and the geological disposal of nuclear waste. Therefore, it is essential to explore the relationship between the thermal damage (TD) of...

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Bibliographic Details
Main Authors: Gabit Sansyzbekov, Amoussou Coffi Adoko, Paul Mathews George
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
granite
crack development
thermal damage
predictive model
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/11/6328
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