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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 paper, an experimental study of the in-plane tension-tension fatigue behavior of the carbon fiber/epoxy matrix composite reinforced with non-crimp 3D orthogonal woven fabric is presented.

73 citations

Journal ArticleDOI
TL;DR: In this article, the amplitude distribution of acoustic emission (AE) signals emerging from growing microcracks is analyzed using the b-value, which decreases systematically with damage growth, and the fractal dimension of the damaged domain is expected to decrease from an initial value comprised between 2 and 3 towards a final value nearly equal to 2.
Abstract: In Civil Engineering materials subjected to stress or strain states a quantitative evaluation of damage is of great importance due to the critical character of this phenomenon, which at a certain point suddenly turns into a catastrophic failure. An effective damage assessment criterion is represented by the statistical analysis of the amplitude distribution of acoustic emission (AE) signals emerging from the growing microcracks. The amplitudes of such signals are distributed according to the Gutenberg–Richter (GR) law and characterised through the b-value which decreases systematically with damage growth. On the other hand, the damage process is also characterised by the progressive coalescence of microcracks to form fracture surfaces. Geometrically the fractal dimension D of the damaged domain is expected to decrease from an initial value comprised between 2 and 3 towards a final value nearly equal to 2. The b-value and the fractal analysis, are here applied to two case studies of concrete specimens loaded up to failure, and the obtained results are compared and discussed. In particular, we emphasize that a single fractal dimension does not adequately describe a crack network, since two damaged domains with the same fractal dimension could have significantly different properties.

73 citations

Journal ArticleDOI
TL;DR: In this paper, a Gaussian filter is proposed to improve the interpretation of b-value data obtained during the test and a cluster analysis based on the k-means is presented to automatically classify the signal into tensile and shear cluster.
Abstract: In the last two decades, several efforts have been made to monitor the cracking behavior in RC structures. A technique that shows promise is acoustic emission (AE). This paper presents the results of an experimental study aimed at monitoring fracture processes in a large-scale RC shear wall using one of the most important AE parameters, that is, the b-value. The specimen was subjected to a displacement controlled reversed cyclic loading. A Gaussian filter is proposed to improve the interpretation of b-value data obtained during the test. In addition, a cluster analysis based on the k-means is presented to automatically classify the signal into tensile and shear cluster. Finally, a new algorithm called Sifted b-value (Sb) analysis is introduced to monitor the evolution of each crack mode. The proposed approach is capable to identify the initial yielding and eventually provide an early warning for the planning and implementation of remedial action to the structure at a point at which it is less expe...

73 citations

Journal ArticleDOI
06 Mar 2012-EPL
TL;DR: In this paper, the authors apply the concepts of non-extensive statistical physics (NESP) to the time intervals and Euclidean distances between two consecutive acoustic emission (AE) data, and find that the AE scalar moment distribution and the inter-event time distribution reflect a sub-additive system with thermodynamic q -values of qM = 1.82 and qτ =1.34.
Abstract: Using acoustic emission (AE) data, we apply the concepts of non-extensive statistical physics (NESP) to the time intervals and Euclidean distances between two consecutive AE. The application of NESM is appropriate to systems such as fracture where non-linearity, long-range interactions and scaling are important. We find that the AE scalar moment distribution and the inter-event time distribution reflect a sub-additive system with thermodynamic q -values of qM =1.82 and qτ =1.34, respectively, while the inter-event distance distribution follows a q -statistics, with qD =0.65, supporting the conclusion of the so-called "non-extensive spatio-temporal duality". The results regarding the inter-event time distribution are discussed using the complementary to the NESP approach of superstatistics which is based on a superposition of ordinary local equilibrium statistical mechanics, using a suitable intensive parameter β that fluctuates on a relatively large temporal scale. This analysis leads us to conclude that a low number of degrees of freedom describe the process which generates the distribution of AE.

73 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023701
20221,350
2021832
2020841
2019918
2018763