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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Autors principals:	Muhammad Ali, Naseer Muhammad Khan, Qiangqiang Gao, Kewang Cao, Danial Jahed Armaghani, Saad S. Alarifi, Hafeezur Rehman, Izhar Mithal Jiskani
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-03-01
Col·lecció:	Mathematics
Matèries:	acoustic emission strain energy water content artificial intelligence uniaxial loading
Accés en línia:	https://www.mdpi.com/2227-7390/11/6/1305
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