Time-varying characteristics of acoustic emission and fractals based on information dimension during structural failure of coal subjected to uniaxial compression

被引:6
作者
Kong, Xiangguo [1 ,2 ]
Zhan, Mengzhao [1 ,2 ]
Lin, Haifei
Cai, Yuchu [1 ,3 ]
Ji, Pengfei [1 ,2 ]
He, Di [1 ,2 ]
Muhammad, Ali [4 ,5 ]
机构
[1] Xian Univ Sci & Technol, Coll Safety Sci & Engn, Xian 710054, Shaanxi, Peoples R China
[2] Xian Univ Sci & Technol, Key Lab Western Mine Exploitat & Hazard Prevent, Minist Educ, Xian 710054, Shaanxi, Peoples R China
[3] Xian Univ Sci & Technol, Sch Chem & Chem Engn, Xian 710054, Shaanxi, Peoples R China
[4] Balochistan Univ Informat Technol Engn & Managemen, Dept Min Engn, Baleli, Quetta, Pakistan
[5] Xian Univ Technol, Int Coll Engn, Xian 710048, Shaanxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Uniaxial compression; Acoustic emission; Precursor identification; Information dimension; Coal or rock dynamic disasters; SAMPLES;
D O I
10.1016/j.measurement.2024.115088
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Uniaxial compression experiments were conducted on coal samples with different initial damage degrees, and the acoustic emission (AE) signals of the whole deformation and destruction process were captured synchronously. The distribution patterns of the acoustic emission signals at different loading stages were discussed. The chaotic system was introduced to process the acoustic emission series. The results indicate that the acoustic emission responses of coal samples with different damage levels had obvious stage characteristics during the whole destruction process. According to the information dimension fitting curves, the coal samples had good fractal characteristics in the whole loading process, and the value of information dimension decreased with the increased of threshold value.The information dimension of the acoustic emission energy signals showed a dynamic evolution law of "increase-decrease-increase" with time, and the rapid decreased of the information dimension could be used as a stable and effective precursor for predicting the macro-damage of coal.
引用
收藏
页数:12
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