Cargando…

Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction

[Image: see text] Coal and gas outbursts are among the most serious disasters affecting the safety of coal mines. Gas is an important factor in these types of disasters. To analyze the characteristics of the damage caused by gas to the coal body during the sudden release of the gas process, a self-d...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Chengwu, Zhang, Heng, Hao, Min, Sun, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613851/
https://www.ncbi.nlm.nih.gov/pubmed/34841169
http://dx.doi.org/10.1021/acsomega.1c05003
_version_ 1784603730609438720
author Li, Chengwu
Zhang, Heng
Hao, Min
Sun, Xiaoqi
author_facet Li, Chengwu
Zhang, Heng
Hao, Min
Sun, Xiaoqi
author_sort Li, Chengwu
collection PubMed
description [Image: see text] Coal and gas outbursts are among the most serious disasters affecting the safety of coal mines. Gas is an important factor in these types of disasters. To analyze the characteristics of the damage caused by gas to the coal body during the sudden release of the gas process, a self-developed high-pressure gas release cause coal particle ejection experiment device was used to conduct gas release experiments under different conditions. The results show that at the moment of gas release, coal particles and gas are ejected at high speed, crushing coal particles into smaller particles. With the increase in gas pressure and gas adsorption performance, the crushing effect will increase. Also, the coal ejection strength (CES) will increase nonlinearly. By analyzing the mass ratio of ejected coal particles, based on the theory of crushing work and energy, we developed a new coal particle fragmentation index, which can be fitted linearly to CES. The index is based on the f value, which makes up for the limitations of the forecasting method, and can be used more flexibly to predict the coal sample crushing situation. Moreover, the fitting parameter values can more accurately describe the coal particle crushing grade.
format Online
Article
Text
id pubmed-8613851
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-86138512021-11-26 Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction Li, Chengwu Zhang, Heng Hao, Min Sun, Xiaoqi ACS Omega [Image: see text] Coal and gas outbursts are among the most serious disasters affecting the safety of coal mines. Gas is an important factor in these types of disasters. To analyze the characteristics of the damage caused by gas to the coal body during the sudden release of the gas process, a self-developed high-pressure gas release cause coal particle ejection experiment device was used to conduct gas release experiments under different conditions. The results show that at the moment of gas release, coal particles and gas are ejected at high speed, crushing coal particles into smaller particles. With the increase in gas pressure and gas adsorption performance, the crushing effect will increase. Also, the coal ejection strength (CES) will increase nonlinearly. By analyzing the mass ratio of ejected coal particles, based on the theory of crushing work and energy, we developed a new coal particle fragmentation index, which can be fitted linearly to CES. The index is based on the f value, which makes up for the limitations of the forecasting method, and can be used more flexibly to predict the coal sample crushing situation. Moreover, the fitting parameter values can more accurately describe the coal particle crushing grade. American Chemical Society 2021-11-11 /pmc/articles/PMC8613851/ /pubmed/34841169 http://dx.doi.org/10.1021/acsomega.1c05003 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Li, Chengwu
Zhang, Heng
Hao, Min
Sun, Xiaoqi
Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title_full Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title_fullStr Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title_full_unstemmed Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title_short Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction
title_sort failure mechanism of gas-bearing coal during outburst and a new method for outburst prediction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613851/
https://www.ncbi.nlm.nih.gov/pubmed/34841169
http://dx.doi.org/10.1021/acsomega.1c05003
work_keys_str_mv AT lichengwu failuremechanismofgasbearingcoalduringoutburstandanewmethodforoutburstprediction
AT zhangheng failuremechanismofgasbearingcoalduringoutburstandanewmethodforoutburstprediction
AT haomin failuremechanismofgasbearingcoalduringoutburstandanewmethodforoutburstprediction
AT sunxiaoqi failuremechanismofgasbearingcoalduringoutburstandanewmethodforoutburstprediction