Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics: Insight Experimental and Artificial Intelligence Approaches

Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics: Insight Experimental and Artificial Intelligence Approaches

This research offers a combination of experimental and artificial approaches to estimate the dilatancy point under different coal conditions and develop an early warning system. The effect of water content on dilatancy point was investigated under uniaxial loading in three distinct states of coal: d...

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Bibliographic Details
Main Authors: Muhammad Ali, Naseer Muhammad Khan, Qiangqiang Gao, Kewang Cao, Danial Jahed Armaghani, Saad S. Alarifi, Hafeezur Rehman, Izhar Mithal Jiskani
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
acoustic emission
strain energy
water content
artificial intelligence
uniaxial loading
Online Access:https://www.mdpi.com/2227-7390/11/6/1305

Internet

https://www.mdpi.com/2227-7390/11/6/1305

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