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固体-气体-应力耦合模型及其应用研究。

Study of the solid-gas-stress coupling model and its application.

机构信息

Xichang University, Xichang, Sichuan, China.

Guizhou Yuxiang Mining Group Investment Co. Ltd., Bijie, Guizhou, China.

出版信息

Sci Rep. 2023 Mar 29;13(1):5135. doi: 10.1038/s41598-022-24273-8.

DOI:10.1038/s41598-022-24273-8
PMID:36991004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10060242/
Abstract

Coal mines may change from non-outburst mines into coal and gas outburst mines with increasing mining depth. Therefore, scientific and rapid prediction of the coal seam outburst risk and effective prevention and control measures could ensure coal mine safety and production. This study aimed to propose a solid-gas-stress coupling model and assessed its applicability in predicting the coal seam outburst risk. Based on a large amount of outburst case data and the research results of previous scholars, coal and coal seam gas constitute the material basis of outbursts, and gas pressure is the energy source of coal seam outbursts. A solid-gas-stress coupling model was proposed, and a solid-gas-stress coupling equation was established via regression. Among the three major outburst factors, the sensitivity to the gas content during outbursts was the lowest. The causes of coal seam outbursts with a low gas content and the effect of the structure on outbursts were explained. It was theoretically revealed that the coupling of the coal firmness coefficient, gas content and gas pressure determined whether coal seams could experience outbursts. This paper provided a basis for assessing coal seam outbursts and classifying outburst mine types and listed application examples of solid-gas-stress theory.

摘要

随着开采深度的增加,煤矿可能会由非突出矿井变为煤与瓦斯突出矿井。因此,科学、快速地预测煤层突出风险,并采取有效的防治措施,可以确保煤矿的安全和生产。本研究旨在提出一种固-气-应力耦合模型,并评估其在预测煤层突出风险中的适用性。基于大量的突出案例数据和以往学者的研究成果,煤和煤层瓦斯构成了突出的物质基础,瓦斯压力是煤层突出的能量来源。提出了固-气-应力耦合模型,并通过回归建立了固-气-应力耦合方程。在三大突出因素中,突出时瓦斯含量的敏感性最低。解释了低瓦斯含量的煤层突出原因以及构造对突出的影响。从理论上揭示了煤的坚固性系数、瓦斯含量和瓦斯压力的耦合决定了煤层是否会发生突出。本文为评估煤层突出和分类突出矿井类型提供了依据,并列出了固-气-应力理论的应用实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/da8791a080f1/41598_2022_24273_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/c8d9bfec0a36/41598_2022_24273_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/8dd0c3e1ee3c/41598_2022_24273_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/0fa2254a508a/41598_2022_24273_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/952a246f0394/41598_2022_24273_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/6f200136af0f/41598_2022_24273_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/17b61c472766/41598_2022_24273_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/da8791a080f1/41598_2022_24273_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/c8d9bfec0a36/41598_2022_24273_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/8dd0c3e1ee3c/41598_2022_24273_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/0fa2254a508a/41598_2022_24273_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/952a246f0394/41598_2022_24273_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/6f200136af0f/41598_2022_24273_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/17b61c472766/41598_2022_24273_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fe/10060242/da8791a080f1/41598_2022_24273_Fig7_HTML.jpg

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