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Symmetry
Special Issues
Symmetry/Asymmetry in Damage Detection, Wavelet Transformation and Applied Mechanics
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Symmetry/Asymmetry in Damage Detection, Wavelet Transformation and Applied Mechanics

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (1 September 2022) | Viewed by 2794

Special Issue Editors

Prof. Dr. Marcin Kamiński

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Guest Editor
Department of Structural Mechanics, Lodz University of Technology, 6 Politechniki Street, 90-924 Lodz, Poland
Interests: stochastic finite element method; stochastic reliability; random composites; probabilistic entropy; wavelet analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zbigniew Pozorski

E-Mail Website
Guest Editor
Institute of Structural Analysis, Faculty of Civil and Transport Engineering, Poznan University of Technology, ul. Piotrowo 5, 60-965 Poznań, Poland
Interests: mechanics of sandwich panels; composites; local instability; structure identification; dynamics; optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Anna Knitter-Piątkowska

E-Mail Website
Guest Editor
Institute of Structural Engineering, Poznan University of Technology, 60-965 Poznań, Poland
Interests: damage detection; wavelet transform; non-destructive testing; acoustic emis-sion method; corrugated cardboard
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The issue of early detection, location, and estimation of structural damage is one of the most important engineering problems because it is closely related to the safety and durability of a facility. New directions of research are indicated, different approaches are used, and many advanced methods are developed. Many of these are based on the analysis of structural response signals. Some approaches are based on, e.g., optimization of loads, information on natural frequencies, heat transfer, inverse analysis, and acoustic emission. A very promising tool for signal analysis, based on mathematical theory, is a wavelet transform (WT), which allows non-stationary signals to be effectively analyzed.

In this Special Issue, we would like to exchange experiences and achievements in the field of failure detection and identification of various types of systems. We encourage you to describe solutions to technical problems related to the behavior of structures subjected to various impacts. Among the many problems considered, as well as in the methods of analysis themselves, we find several aspects of the presence of symmetry or asymmetry. We encourage authors and Symmetry readers to submit scientific papers to the Special Issue, with particular emphasis on papers supported by experimental research or examples of applications of various methods of analysis. 

Prof. Dr. Marcin Kamiński
Prof. Dr. Zbigniew Pozorski
Dr. Anna Knitter-Piątkowska
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. Symmetry is an international peer-reviewed open access monthly 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.

Keywords

  • damage detection
  • non-destructive testing
  • wavelet transform
  • signal processing
  • structure identification
  • optimization

Published Papers (2 papers)

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Research

13 pages, 2920 KiB  
Article
On the Symmetry Importance in a Relative Entropy Analysis for Some Engineering Problems
by Marcin Kamiński
Symmetry 2022, 14(9), 1945; https://doi.org/10.3390/sym14091945 - 18 Sep 2022
Cited by 1 | Viewed by 988
Abstract
This paper aims at certain theoretical studies and additional computational analysis on symmetry and its lack in Kullback-Leibler and Jeffreys probabilistic divergences related to some engineering applications. As it is known, the Kullback-Leibler distance in between two different uncertainty sources exhibits a lack [...] Read more.
This paper aims at certain theoretical studies and additional computational analysis on symmetry and its lack in Kullback-Leibler and Jeffreys probabilistic divergences related to some engineering applications. As it is known, the Kullback-Leibler distance in between two different uncertainty sources exhibits a lack of symmetry, while the Jeffreys model represents its symmetrization. The basic probabilistic computational implementation has been delivered in the computer algebra system MAPLE 2019®, whereas engineering illustrations have been prepared with the use of the Finite Element Method systems Autodesk ROBOT® & ABAQUS®. Determination of the first two probabilistic moments fundamental in the calculation of both relative entropies has been made (i) analytically, using a semi-analytical approach (based upon the series of the FEM experiments), and (ii) the iterative generalized stochastic perturbation technique, where some reference solutions have been delivered using (iii) Monte-Carlo simulation. Numerical analysis proves the fundamental role of computer algebra systems in probabilistic entropy determination and shows remarkable differences obtained with the two aforementioned relative entropy models, which, in some specific cases, may be neglected. As it is demonstrated in this work, a lack of symmetry in probabilistic divergence may have a decisive role in engineering reliability, where extreme and admissible responses cannot be simply replaced with each other in any case. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Damage Detection, Wavelet Transformation and Applied Mechanics)
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18 pages, 4562 KiB  
Article
A Hybrid Particle Swarm Optimization-Based Wavelet Threshold Denoising Algorithm for Acoustic Emission Signals
by Farrukh Hassan, Lukman Ab. Rahim, Ahmad Kamil Mahmood and Saad Adnan Abed
Symmetry 2022, 14(6), 1253; https://doi.org/10.3390/sym14061253 - 16 Jun 2022
Cited by 3 | Viewed by 2061
Abstract
Acoustic emission (AE) as a non-destructive monitoring method is used to identify small damage in various materials effectively. However, AE signals acquired during the monitoring of oil and gas steel pipelines are always contaminated with noise. A noisy signal can be a threat [...] Read more.
Acoustic emission (AE) as a non-destructive monitoring method is used to identify small damage in various materials effectively. However, AE signals acquired during the monitoring of oil and gas steel pipelines are always contaminated with noise. A noisy signal can be a threat to the reliability and accuracy of the findings. To address these shortcomings, this study offers a technique based on discrete wavelet transform to eliminate noise in these signals. The denoising performance is affected by several factors, including wavelet basis function, decomposition level, thresholding method, and the threshold selection criteria. Traditional threshold selection rules rely on statistical and empirical variables, which influence their performance in noise reduction under various conditions. To obtain the global best solution, a threshold selection approach is proposed by integrating particle swarm optimization and the late acceptance hill-climbing heuristic algorithms. By comparing five common approaches, the superiority of the suggested technique was validated by simulation results. The enhanced thresholding solution based on particle swarm optimization algorithm outperformed others in terms of signal-to-noise ratio and root-mean-square error of denoised AE signals, implying that it is more effective for the detection of AE sources in oil and gas steel pipelines. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Damage Detection, Wavelet Transformation and Applied Mechanics)
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