EconPapers    
Economics at your fingertips  
 

Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

Muhammad Ali, Enyuan Wang (), Zhonghui Li, Xiaoran Wang, Naseer Muhammad Khan (), Zesheng Zang, Saad S. Alarifi and Yewuhalashet Fissha
Additional contact information
Muhammad Ali: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Enyuan Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Zhonghui Li: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xiaoran Wang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Naseer Muhammad Khan: Department of Sustainable Advanced Geomechanical Engineering, Military College of Engineering, National University of Sciences and Technology, Risalpur 23200, Pakistan
Zesheng Zang: School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Saad S. Alarifi: Department of Geology and Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
Yewuhalashet Fissha: Department of Geosciences, Geotechnology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita 010-8502, Japan

Sustainability, 2023, vol. 15, issue 2, 1-18

Abstract: Overburden collapse and water inrush in mines are primarily caused by rock fractures. Mining safety can be enhanced by monitoring and identifying early signs of coal failure in the mines. This article collected acoustic emission data synchronously throughout a series of uniaxial compression (UC) experiments on natural and water-saturated coal. The influence mechanisms of water, mechanical properties, and acoustic emission signals on the stress–strain curve and the SEM results of water-saturated and dry samples are investigated. As a result, the mechanical properties of coal are not only weakened by water saturation, such as elastic modulus, strain, stress, and compressive strength but also reduced acoustic emissions. In comparison with saturated coal, natural coal has a uniaxial stress of 13.55 MPa and an elastic modulus of 1.245 GPa, while saturated coal has a stress of 8.21 MPa and an elastic modulus of 0.813 GPa. Intergranular fractures are more likely to occur in coal with a high water content, whereas transgranular fractures are less likely to occur in coal with a high water content. An innovative and unique statistical model of coal damage under uniaxial loading has been developed by analyzing the acoustic emission data. Since this technique takes into account the compaction stage, models based on this technique were found to be superior to those based on lognormal or Weibull distributions. A correlation coefficient of greater than 0.956 exists between the piecewise constitutive model and the experimental curve. Statistical damage constitutive models for coal are compatible with this model. Additionally, the model can precisely forecast the stress associated with both natural and saturated coal and can be useful in the prevention of rock-coal disasters in water conditions.

Keywords: fracture; water-saturated coal; acoustic emission; statistical model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/2/1236/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/2/1236/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:2:p:1236-:d:1030015

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1236-:d:1030015