Predicting Sandstone Brittleness under Varying Water Conditions Using Infrared Radiation and Computational Techniques
The brittleness index is one of the most integral parameters used in assessing rock bursts and catastrophic rock failures resulting from deep underground mining activities. Accurately predicting this parameter is crucial for effectively monitoring rock bursts, which can cause damage to miners and le...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/16/1/143 |