FRACTALS AND CHAOS CHARACTERISTICS OF ACOUSTIC EMISSION ENERGY ABOUT GAS-BEARING COAL DURING LOADED FAILURE

Author:

KONG XIANGGUO12ORCID,WANG ENYUAN3,LI SHUGANG1,LIN HAIFEI1,XIAO PENG1,ZHANG KAIZHI4

Affiliation:

1. College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi An, Shaanxi 710054, P. R. China

2. Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, MLR., Xi An, Shaanxi 710021, P. R. China

3. School of Safety Engineering, China University of Mining and Technology, Xu Zhou, Jiangsu 221116, P. R. China

4. School of Mining Engineering, Guizhou Institute of Technology, Gui Yang, Guizhou 550003, P. R. China

Abstract

To study the damage evolution mechanism of gas-bearing coal and formation causes of acoustic emission signals during this process, the loaded experiments of gas-bearing coal were performed, and acoustic emission (AE) data radiated in this process were collected. Based on the multifractal theory, the causes of AE were explored in various loaded phases. The results showed that at the low stress stage, the fractures close and the friction/slip could cause low-energy acoustic emission events, and the multifractal spectrum had a smaller width. By contrast, at the high stress stage, the cracks expand, penetrate, and rupture, which would lead to AE events with the release of high energy, reflecting an increase in the width of the multifractal spectrum. At the initial loading stage, the time-varying multifractal spectrum was characterized by a chaotic behavior, but as the loading progressed, it gradually became orderly. In the elastic stage, coal experienced elastic deformation without damage, the ratio of strong and weak AE signals was almost the same, and both [Formula: see text] and [Formula: see text] were close to 0. In the plastic fracture stage, coal body consumed huge amounts of energy and suffered fracture. This also caused the coal body to radiate a large amount of AE signals. An analysis of these signals indicated that strong signals dominated and showed an increasing trend, and [Formula: see text] was less than 0 and continued to decrease. The time-varying multifractal characteristics reveal the formation mechanism of AE signals from gas-bearing coal, which contributes to improve our understanding of the mechanism of gas-bearing coal damage.

Funder

National Natural Science Foundation of China

Major innovation group project of Guizhou Education Department

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Geometry and Topology,Modelling and Simulation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3