True-Triaxial Experimental Study of the Evolutionary Features of the Acoustic Emissions and Sounds of Rockburst Processes

被引:151
作者
Su, Guoshao [1 ,2 ]
Shi, Yanjiong [1 ]
Feng, Xiating [2 ]
Jiang, Jianqing [1 ]
Zhang, Jie [1 ]
Jiang, Quan [2 ]
机构
[1] Guangxi Univ, Sch Civil & Architecture Engn, Key Lab Disaster Prevent & Struct Safety, Minist Educ, Nanning 530004, Peoples R China
[2] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
True-triaxial test; Rockburst; Acoustic emission; Sound; Signal analysis; ROCK; TUNNELS; COMPRESSION; FAILURE; CLASSIFICATION; MECHANISMS; PREVENTION; ENERGY; BURST;
D O I
10.1007/s00603-017-1344-6
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Rockbursts are markedly characterized by the ejection of rock fragments from host rocks at certain speeds. The rockburst process is always accompanied by acoustic signals that include acoustic emissions (AE) and sounds. A deep insight into the evolutionary features of AE and sound signals is important to improve the accuracy of rockburst prediction. To investigate the evolutionary features of AE and sound signals, rockburst tests on granite rock specimens under true-triaxial loading conditions were performed using an improved rockburst testing system, and the AE and sounds during rockburst development were recorded and analyzed. The results show that the evolutionary features of the AE and sound signals were obvious and similar. On the eve of a rockburst, a 'quiescent period' could be observed in both the evolutionary process of the AE hits and the sound waveform. Furthermore, the time-dependent fractal dimensions of the AE hits and sound amplitude both showed a tendency to continuously decrease on the eve of the rockbursts. In addition, on the eve of the rockbursts, the main frequency of the AE and sound signals both showed decreasing trends, and the frequency spectrum distributions were both characterized by low amplitudes, wide frequency bands and multiple peak shapes. Thus, the evolutionary features of sound signals on the eve of rockbursts, as well as that of AE signals, can be used as beneficial information for rockburst prediction.
引用
收藏
页码:375 / 389
页数:15
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