Identification of acoustic emission sources in injected rock assisted by pattern recognition techniques

被引：0

作者：

Feknous, N. ^{[1
]}

Poulin, R.M. ^{[1
]}

Ballivy, G. ^{[1
]}

Piasta, Z. ^{[1
]}

机构：

[1] SNC Inc, Montreal, Canada

来源：

Canadian Geotechnical Conference | 1991年 / pt 1期

关键词：

Acoustic emission testing - Acoustic noise - Data reduction - Deformation - Fracture - Loads (forces) - Mathematical models - Pattern recognition - Statistical methods - Vibrations (mechanical);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Recording and analysis of noises produced by disturbance of rock mass allow the identification of instable zones. This is due to the fact that a rupture is generally preceded by disorders of different nature, which can be detected with geophones. This paper present an experimental study of identification of acoustic emission sources, emanating from different mechanisms in an injected rock mass under load. The different mechanisms occurring in an injected rock under load were modelled in the laboratory by different tests and samples. The injected rock was modelled with a square plate (200×200×20 mm) in which was inserted a grout disk of 20 mm diameter. The statistical pattern recognition techniques were applied to classify the recorded signals.

引用

页码：1 / 36

共 50 条

[21] Multiscale acoustic emission of C/SiC mini-composites and damage identification using pattern recognition
Xie, Chuyang
Gao, Xiguang
Zhang, Huajun
Song, Yingdong
SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS, 2020, 27 (01) : 148 - 162
[22] Application of Pattern Recognition to the Acoustic Emission Signals of Carbon Steel
Li, Li-fei
Zhang, Wan-ling
Chen, Zhi-qiang
Wen, Li-juan
Wang, Fang
Shen, Gong-tian
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 4536 - +
[23] Crack Pattern Recognition Based on Acoustic Emission Waveform Features
Jingjing Dai
Jianfeng Liu
Lulin Zhou
Xin He
Rock Mechanics and Rock Engineering, 2023, 56 : 1063 - 1076
[24] Crack Pattern Recognition Based on Acoustic Emission Waveform Features
Dai, Jingjing
Liu, Jianfeng
Zhou, Lulin
He, Xin
ROCK MECHANICS AND ROCK ENGINEERING, 2023, 56 (02) : 1063 - 1076
[25] Research on chaos and intelligent identification of acoustic emission in rock mass
Li, X.-B. (xbli@mail.csu.edu.cn), 2005, Academia Sinica (24):
[26] Wood fracture, acoustic emission, and the drying process .2. Acoustic emission pattern recognition analysis
Lee, SH
Quarles, SL
Schniewind, AP
WOOD SCIENCE AND TECHNOLOGY, 1996, 30 (04) : 283 - 292
[27] Comparison of pattern recognition techniques for the classification of impact acoustic emissions
Yella, Siril
Gupta, Narendra K.
Dougherty, Mark S.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2007, 15 (06) : 345 - 360
[28] IDENTIFICATION OF NOISE SOURCES WITH FLOW PROCESSES IN A HIGH SUBSONIC JET USING PATTERN-RECOGNITION TECHNIQUES
PETERSEN, RA
BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1977, 22 (10): : 1280 - 1280
[29] Optimizing Muzzle Pattern Identification through Improved Pattern Recognition Techniques
Yang, Jeon Seong
Lee, Seok Kee
TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2024, 31 (05): : 1726 - 1733
[30] Damage mechanisms analysis of UHMWPE/LDPE composites based on the use of pattern recognition techniques on acoustic emission signals
Key Laboratory of Textile Science and Technology, College of Textiles, Donghua University, Shanghai 201620, China
Fuhe Cailiao Xuebao, 2008, 2 (35-40):

← 1 2 3 4 5 →