4.4 Article

Damage evolution analysis of coal samples under cyclic loading based on single-link cluster method

期刊

JOURNAL OF APPLIED GEOPHYSICS
卷 152, 期 -, 页码 56-64

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jappgeo.2018.03.014

关键词

Single-link cluster method; Acoustic emission; Coal samples; Damage process; Spatial correlation length

资金

  1. Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX17_1551]
  2. China Scholarship Council [201706420004]
  3. National Natural Science Foundation of China [51634001, 51674254]
  4. Natural Science Foundation of Jiangsu Province [BK20150183]
  5. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

向作者/读者索取更多资源

In this paper, the acoustic emission (AE) response of coal samples under cyclic loading is measured. The results show that there is good positive relation between AE parameters and stress. The AE signal of coal samples under cyclic loading exhibits an obvious Kaiser Effect. The single-link cluster (SLC) method is applied to analyze the spatial evolution characteristics of AE events and the damage evolution process of coal samples. It is found that a subset scale of the SLC structure becomes smaller and smaller when the number of cyclic loading increases, and there is a negative linear relationship between the subset scale and the degree of damage. The spatial correlation length xi of an SLC structure is calculated. The results show that g fluctuates around a certain value from the second cyclic loading process to the fifth cyclic loading process, but spatial correlation length xi clearly increases in the sixth loading process. Based on the criterion of microcrack density, the coal sample failure process is the transformation from small-scale damage to large-scale damage, which is the reason for changes in the spatial correlation length. Through a systematic analysis, the SLC method is an effective method to research the damage evolution process of coal samples under cyclic loading, and will provide important reference values for studying coal bursts. (C) 2018 Elsevier B.V. All rights reserved.

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