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Frontiers in Non-destructive Monitoring for Structural Integrity Assessment and Material Characterization

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Materials".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 4984
Please contact the Guest Editor or the Section Managing Editor at ([email protected]) for any queries.

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering and Aeronautics, University of Patras in Greece, Patras, Greece
Interests: composite materials; multi-material design; function integration; structural dynamics; digital twins

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Guest Editor
Institute of Lightweight Engineering and Polymer Technology, University of Dresden, Holbeinstraße 3, 01307 Dresden, Germany
Interests: lightweight design and structural assessment; Neural Networks

Special Issue Information

Dear Colleagues,

New materials expand the design capabilities of multi-material structures, especially of hybrid, composite structures. In view of increasing requirements regarding structural integrity, new assessment methods are required that capture new phenomena and occurring interdependencies, between structures and their materials. Therefore, novel approaches to material characterization and non-destructive monitoring at the material and structural levels can provide a new paradigm of how we understand the structure–property–process (SPP) relations between materials and structures.

Furthermore, the ongoing digitalization combines virtual and experimental testing, conveying new concepts for more efficient testing approaches, and thus brings to the foreground challenges such as the interface between experiment and simulation, material and structure.

This Special Issue aims to encourage authors, from academia and industry, to submit original contributions or review papers on the challenges for novel non-destructive monitoring approaches for structural integrity assessment, as well as the corresponding material characterization.

Dr. Angelos Filippatos
Prof. Maik Gude
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. Sensors 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 2600 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

  • Techniques and methods used in non-destructive monitoring
  • In situ shape monitoring
  • Measurement systems for material damping
  • Structure–property–process (SPP) relations
  • New in situ experimental testing methods
  • Structural assessment methods for composites structures
  • In situ composite material characterization
  • Digital twins for structural integrity assessment
  • Function integration for integrity assessment
  • Virtual and experimental testing
  • Non-destructive monitoring of composites

Published Papers (3 papers)

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Research

15 pages, 4263 KiB  
Article
Ultrasound Evaluation of the Primary α Phase Grain Size Based on Generative Adversarial Network
by Siqin Peng, Xi Chen, Guanhua Wu, Ming Li and Hao Chen
Sensors 2022, 22(9), 3274; https://0-doi-org.brum.beds.ac.uk/10.3390/s22093274 - 24 Apr 2022
Cited by 2 | Viewed by 1144
Abstract
Because of the high cost of experimental data acquisition, the limited size of the sample set available when conducting tissue structure ultrasound evaluation can cause the evaluation model to have low accuracy. To address such a small-sample problem, the sample set size can [...] Read more.
Because of the high cost of experimental data acquisition, the limited size of the sample set available when conducting tissue structure ultrasound evaluation can cause the evaluation model to have low accuracy. To address such a small-sample problem, the sample set size can be expanded by using virtual samples. In this study, an ultrasound evaluation method for the primary α phase grain size based on the generation of virtual samples by a generative adversarial network (GAN) was developed. TC25 titanium alloy forgings were treated as the research object. Virtual samples were generated by the GAN with a fully connected network of different sizes used as the generator and discriminator. A virtual sample screening mechanism was constructed to obtain the virtual sample set, taking the optimization rate as the validity criterion. Moreover, an ultrasound evaluation optimization problem was constructed with accuracy as the target. It was solved by using support vector machine regression to obtain the final ultrasound evaluation model. A benchmark function was adopted to verify the effectiveness of the method, and a series of experiments and comparison experiments were performed on the ultrasound evaluation model using test samples. The results show that the learning accuracy of the original small samples can be increased by effective virtual samples. The ultrasound evaluation model built based on the proposed method has a higher accuracy and better stability than other models. Full article
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10 pages, 2565 KiB  
Article
Ultrasound Assessment of Honey Using Fast Fourier Transform
by Montaña Rufo, Antonio Jiménez, Jesús M. Paniagua and Alberto González-Mohíno
Sensors 2021, 21(20), 6748; https://0-doi-org.brum.beds.ac.uk/10.3390/s21206748 - 11 Oct 2021
Cited by 1 | Viewed by 1455
Abstract
Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical properties of [...] Read more.
Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical properties of different varieties of honey. These parameters are practically independent of the criteria adopted for their calculation, unlike other ultrasound variables such as pulse velocity or attenuation whose determination can vary depending on those criteria. The study was carried out on four varieties of honey (Eucalyptus, Heather, Thyme, and Thousand Flowers) using 500-kHz transducers. A simultaneously performed honey texture analysis (Texture Profile Analysis-TPA) showed significant linear correlations between the ultrasound variables provided by FFT and the texture parameters. The FFT parameters distinguished between each of the four honey varieties studied. Full article
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13 pages, 16067 KiB  
Article
Spatially Resolved Experimental Modal Analysis on High-Speed Composite Rotors Using a Non-Contact, Non-Rotating Sensor
by Julian Lich, Tino Wollmann, Angelos Filippatos, Maik Gude, Juergen Czarske and Robert Kuschmierz
Sensors 2021, 21(14), 4705; https://0-doi-org.brum.beds.ac.uk/10.3390/s21144705 - 09 Jul 2021
Cited by 2 | Viewed by 1811
Abstract
Due to their lightweight properties, fiber-reinforced composites are well suited for large and fast rotating structures, such as fan blades in turbomachines. To investigate rotor safety and performance, in situ measurements of the structural dynamic behaviour must be performed during rotating conditions. An [...] Read more.
Due to their lightweight properties, fiber-reinforced composites are well suited for large and fast rotating structures, such as fan blades in turbomachines. To investigate rotor safety and performance, in situ measurements of the structural dynamic behaviour must be performed during rotating conditions. An approach to measuring spatially resolved vibration responses of a rotating structure with a non-contact, non-rotating sensor is investigated here. The resulting spectra can be assigned to specific locations on the structure and have similar properties to the spectra measured with co-rotating sensors, such as strain gauges. The sampling frequency is increased by performing consecutive measurements with a constant excitation function and varying time delays. The method allows for a paradigm shift to unambiguous identification of natural frequencies and mode shapes with arbitrary rotor shapes and excitation functions without the need for co-rotating sensors. Deflection measurements on a glass fiber-reinforced polymer disk were performed with a diffraction grating-based sensor system at 40 measurement points with an uncertainty below 15 μrad and a commercial triangulation sensor at 200 measurement points at surface speeds up to 300 m/s. A rotation-induced increase of two natural frequencies was measured, and their mode shapes were derived at the corresponding rotational speeds. A strain gauge was used for validation. Full article
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