Topic
Acoustic emission
About: Acoustic emission is a research topic. Over the lifetime, 16293 publications have been published within this topic receiving 211456 citations.
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TL;DR: In this article, the authors used active waveguides (i.e., those that generate acoustic emission when deformed by the host soil) as an efficient method of obtaining signals from depth within a deforming soil body.
Abstract: This paper introduces the concept of using active waveguides as part of an acoustic emission monitoring system for assessing the stability of soil slopes. In soil, acoustic emissions are generated by inter-particle friction, and hence the detection of acoustic emission is an indication of straining. The components of a field monitoring system are introduced, and the factors controlling design and performance of waveguides are discussed. It is proposed that active waveguides (i.e. those that generate acoustic emission when deformed by the host soil) can be used as an efficient method of obtaining signals from depth within a deforming soil body. The results of laboratory tests conducted to validate the active waveguide model are presented. The role played by the soil surrounding the steel tube waveguide is highlighted. Results from two full-scale field trials that involved monitoring unstable slopes provide evidence for the relationship between detected acoustic emission and slope deformation rate. It is shown that active waveguides in conjunction with relevant signal processing methods can be used to provide an early indication of slope instability.
91 citations
TL;DR: In this paper, the authors explored the growth behavior of supercritical CO2 (SC-CO2)-induced fractures in layered tight sandstones through a series of laboratory fracturing experiments under triaxial stress states.
91 citations
91 citations
Journal Article•
TL;DR: In this paper, the authors used clustering analysis for the interpretation of acoustic emission (AE) signals from glass fiber/ epoxy composite specimens in order to overcome some of the difficulties and uncertainties encountered either with conventional AE or with supervised pattern recognition analysis of AE data.
Abstract: Partitional clustering analysis is used for the interpretation of acoustic emission (AE) signals from glass fiber/ epoxy composite specimens in order to overcome some of the difficulties and uncertainties encountered either with conventional AE or with supervised pattern recognition analysis of AE data. Two different clustering methods are examined and procedures for numerical validation of the results are investigated. Comparison of clustering results with optical microscopy is used for further validation of the resulting partitions, while the initiation and growth of the different failure mechanisms is successfully characterized by plotting the cumulative events of each of the resulting classes. The proposed method highlights the potential and effectiveness of AE along with data clustering analysis as a powerful stand-alone nondestructive testing technique for the discrimination between various failure mechanisms.
90 citations
TL;DR: In this paper, an experimental program was conducted to ascertain and validate the applicability of acoustic emission (AE) to seeded gear defect identification, and the relationship between temperature, oil film thickness and AE activity was investigated.
90 citations