Non-linear Response of Acoustic Emission and Electric Potential During Creep Failure of Coal under Stepwise Increasing Loads: Insights from Multifractal Theory

IF 4.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Dongming Wang, Enyuan Wang, Xiaofei Liu, Xiaojun Feng, Mingyao Wei, Dexing Li, Baolin Li, Quanlin Liu, Xin Zhang, Hengze Yang, Changfang Guo
{"title":"Non-linear Response of Acoustic Emission and Electric Potential During Creep Failure of Coal under Stepwise Increasing Loads: Insights from Multifractal Theory","authors":"Dongming Wang, Enyuan Wang, Xiaofei Liu, Xiaojun Feng, Mingyao Wei, Dexing Li, Baolin Li, Quanlin Liu, Xin Zhang, Hengze Yang, Changfang Guo","doi":"10.1007/s11053-024-10366-w","DOIUrl":null,"url":null,"abstract":"<p>The combination of acoustic emission and electrical potential monitoring methods holds promise for monitoring and warning of rock bursts due to its comprehensive reflection of the damage process. However, the response features during the creep failure process remain unclear. In this paper, a coal creep test was conducted using a combination of electric potential and acoustic emission monitoring. The response characteristics were analyzed, their multifractal characteristics were analyzed, and the joint response mechanism was explored. This research demonstrated a significant correlation among acoustic emission and electrical potential signals and creep deformation and failure. At the start of loading, a brief increase in both signals was observed. As deformation progressed, the signals became steady, and their intensity and fluctuation notably increased during accelerated creep failure. Quantitative analysis of acoustic emission count rates and electric potential intensity during creep processes revealed a quadratic relationship of acoustic emission count rates with stress and strain variations, in addition to an exponential correlation with mean electric potential intensity. Additionally, the statistical analysis of the multifractal characteristics before coal sample instability and failure revealed consistent trends in the characteristic values of Δ<i>α</i> and Δ<i>f</i>(<i>α</i>), with initial decrease followed by slight fluctuations, culminating in a sudden abnormal change preceding failure. Finally, leveraging the mechanisms of acoustic emission and electrification under load, this study discusses the multifractal characteristics of acoustic-electric signals and verifies their complementary roles in accurately predicting coal rock creep failure. These studies provide essential theoretical groundwork and references for improving dynamic disaster monitoring in coal mines.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"6 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11053-024-10366-w","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The combination of acoustic emission and electrical potential monitoring methods holds promise for monitoring and warning of rock bursts due to its comprehensive reflection of the damage process. However, the response features during the creep failure process remain unclear. In this paper, a coal creep test was conducted using a combination of electric potential and acoustic emission monitoring. The response characteristics were analyzed, their multifractal characteristics were analyzed, and the joint response mechanism was explored. This research demonstrated a significant correlation among acoustic emission and electrical potential signals and creep deformation and failure. At the start of loading, a brief increase in both signals was observed. As deformation progressed, the signals became steady, and their intensity and fluctuation notably increased during accelerated creep failure. Quantitative analysis of acoustic emission count rates and electric potential intensity during creep processes revealed a quadratic relationship of acoustic emission count rates with stress and strain variations, in addition to an exponential correlation with mean electric potential intensity. Additionally, the statistical analysis of the multifractal characteristics before coal sample instability and failure revealed consistent trends in the characteristic values of Δα and Δf(α), with initial decrease followed by slight fluctuations, culminating in a sudden abnormal change preceding failure. Finally, leveraging the mechanisms of acoustic emission and electrification under load, this study discusses the multifractal characteristics of acoustic-electric signals and verifies their complementary roles in accurately predicting coal rock creep failure. These studies provide essential theoretical groundwork and references for improving dynamic disaster monitoring in coal mines.

Abstract Image

煤在逐步增加的载荷作用下发生蠕变破坏时的声发射和电势的非线性响应:多分形理论的启示
声发射和电位监测方法相结合,能够全面反映破坏过程,因此有望对岩石爆裂进行监测和预警。然而,蠕变破坏过程中的响应特征仍不清楚。本文采用电位和声发射监测相结合的方法进行了煤炭蠕变试验。分析了响应特征、多分形特征,并探讨了联合响应机制。研究表明,声发射和电动势信号与蠕变变形和破坏之间存在明显的相关性。在加载开始时,这两种信号都有短暂的增加。随着变形的进行,信号变得稳定,在加速蠕变失效时,信号的强度和波动明显增加。对蠕变过程中的声发射计数率和电动势强度进行定量分析后发现,声发射计数率与应力和应变变化呈二次关系,与平均电动势强度呈指数关系。此外,对煤样失稳和失效前的多分形特征进行统计分析后发现,Δα 和 Δf(α)的特征值变化趋势一致,都是先降低后轻微波动,最后在失效前突然发生异常变化。最后,本研究利用载荷作用下的声发射和电化机制,讨论了声电信号的多分形特征,并验证了它们在准确预测煤岩蠕变破坏中的互补作用。这些研究为改进煤矿动态灾害监测提供了重要的理论依据和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信