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Applied Sciences
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State of the Art of Acoustic Emissions Applications
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State of the Art of Acoustic Emissions Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (28 February 2019) | Viewed by 5978

Special Issue Editors

Prof. Dr. Dimitrios G. Aggelis

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Guest Editor
Department of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Interests: structural health monitoring (SHM); non-destructive evaluation (NDE); acoustic emission (AE); ultrasonic testing (UT); scattering; dispersion; attenuation; material evaluation; concrete
Prof. Dr. Tomoki Shiotani

E-Mail Website
Guest Editor
iTi Laboratory, Department of Civil & Earth Resources Engineerg, Kyoto University, Kyoto 615-8540, Japan
Interests: civil engineering materials; assessment of deterioration; NDT; sensors; AE; UT; FOS; tomography
Special Issues, Collections and Topics in MDPI journals
Dr. Yoshihiro Mizutani

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Guest Editor
Tokyo Institute of Technology. 2-12-1-I1-70, Ookayama, Meguro-ku, Tokyo, Japan

Special Issue Information

Dear Colleagues,

The 24th International Acoustic Emission Symposium (IAES 2018; http://www.iiiae.org/iaes24/index.html) will be held in Sapporo, Japan, 5-9 November, 2018. International Acoustic Emission Symposium (IAES) has been held biennially since 1972. This Symposium is more than 40-year-old, long history in Acoustic Emission (AE) field. The principal objective of the IAES is the interchange of global information on AE between many researchers and engineers. The Japan Society for Non-Destructive Inspection (JSNDI) has hosted the symposia. Topics to be discussed at IAES will cover all the areas of AE testing, including: Industries, Machine Engineering, Medical Science, Civil Engineering, Material Science, Geo-Resource Engineering, Signal Processing, Sensor System and so on. The special issue will be based on selected papers from the conference IAES24 of 2018, but it is open to all researchers active in the field, which are urged to submit their studies for publication into this specialized issue of the journal.

Topics of interest (among others) include:

  •     Signal- and parameter-based approaches for fracture monitoring
  •     Identification of fracture modes
  •     Innovative methodologies in AE (tomography, etc.)
  •     Monitoring of innovative materials
  •     AE for quality control of processes
  •     Combination of AE with other monitoring techniques
  •     Sensor technology and wireless systems
  •     AE for structural health monitoring
  •     Improvement in localization of sources
  •     Wave dispersion and waveguides
  •     Numerical simulations of acoustic wave propagation

Prof. Dr. Dimitrios G. Aggelis
Prof. Dr. Tomoki Shiotani
Dr. Yoshihiro Mizutani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

15 pages, 6684 KiB  
Article
Detection of Pneumatic Conveying by Acoustic Emissions
by Liansuo An, Weilong Liu, Yongce Ji, Guoqing Shen and Shiping Zhang
Appl. Sci. 2019, 9(3), 501; https://doi.org/10.3390/app9030501 - 01 Feb 2019
Cited by 1 | Viewed by 2796
Abstract
The acoustic emission (AE) method is used in certain industries for the measurement of pneumatic conveying. Instead of the non-intrusive sensors, the comparison of two different intrusive probes in pneumatic conveying is presented in this work, and the AE signals generated by the [...] Read more.
The acoustic emission (AE) method is used in certain industries for the measurement of pneumatic conveying. Instead of the non-intrusive sensors, the comparison of two different intrusive probes in pneumatic conveying is presented in this work, and the AE signals generated by the flow for different particle flow rates and particle sizes were studied. Comparing the distribution of root mean square (RMS) values indicates that the AE signal acquired by a wire mesh probe was more reliable than that from a T-type probe. Limited intrinsic mode functions (IMFs) were extracted from the raw signals by the ensemble empirical mode decomposition (EEMD) algorithm. The characteristics of these signals were analyzed in both the time and frequency domains, and the energies of different IMFs were used to predict the particle mass flow rates, demonstrating a relative error under 10% achieved by the proposed monitoring system. Additionally, the mean squared error contribution fraction, instead of the energy fraction, can predict the particle size. Full article
(This article belongs to the Special Issue State of the Art of Acoustic Emissions Applications)
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25 pages, 10163 KiB  
Article
Towards Quantitative Acoustic Emission by Finite Element Modelling: Contribution of Modal Analysis and Identification of Pertinent Descriptors
by Thomas Le Gall, Thomas Monnier, Claudio Fusco, Nathalie Godin and Salah-Eddine Hebaz
Appl. Sci. 2018, 8(12), 2557; https://doi.org/10.3390/app8122557 - 10 Dec 2018
Cited by 16 | Viewed by 2649
Abstract
Acoustic emission (AE) is used for damage monitoring and health diagnosis of materials. Several experimental investigations have shown the aptitude of AE to identify signatures of damage mechanisms. Nevertheless, there is a lack of numerical modelling or simulation to understand the link between [...] Read more.
Acoustic emission (AE) is used for damage monitoring and health diagnosis of materials. Several experimental investigations have shown the aptitude of AE to identify signatures of damage mechanisms. Nevertheless, there is a lack of numerical modelling or simulation to understand the link between the source and the AE signals. Since the interpretation of data of AE measurements mainly relies on empirical correlation between the signal and the mechanical source, a detailed description of the effects of the different stages of the acquisition chain is still lacking. Moreover, the geometry of the specimen can strongly influence the propagation modes. In this study, we propose to model AE with the Finite Element Method, in order to investigate the effect of the type of damage, the geometry of the specimen and the piezoelectric sensor on the waves and on the AE parameters. After validating the model with an experimental pencil lead break, we perform a modal analysis on the numerical signals. This consists of identifying the excited modes for several sources using a 2D Fast Fourier Transform. The last part is devoted to the identification of pertinent descriptors with a perfect point contact sensor and with a resonant sensor. Full article
(This article belongs to the Special Issue State of the Art of Acoustic Emissions Applications)
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