Special Issue "Data Fusion, Integration and Advances of Non-destructive Testing Methods in Engineering and Geosciences"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: 31 July 2020.

Special Issue Editors

Dr. Fabio Tosti
E-Mail Website
Guest Editor
School of Computing and Engineering, University of West London (UWL), W5 5RF Ealing, London, United Kingdom
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based methods; numerical simulations; forestry engineering; civil engineering; transport infrastructure engineering
Prof. Andrea Benedetto
E-Mail Website
Guest Editor
Department of Engineering, Roma Tre University, Rome, Italy
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based methods; numerical simulations; road safety; driving simulation; civil engineering
Dr. Ilaria Catapano
E-Mail
Guest Editor
Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Napoli, Italy
Interests: signal processing; non-invasive electromagnetic diagnostics; airborne and in situ radar imaging; reconstruction of geometrical and electromagnetic features of targets by means of microwave and terahertz devices; development of data processing strategies and methodologies; image interpretation; non-invasive subsurface radar surveys of cultural heritage assets
Special Issues and Collections in MDPI journals
Prof. Amir M. Alani
E-Mail Website
Guest Editor
School of Computing and Engineering, University of West London (UWL), London, United Kingdom
Interests: ground-penetrating radar; signal processing; remote sensing; civil engineering; soil engineering; forestry engineering

Special Issue Information

Dear Colleagues,

Non-destructive testing (NDT) methods have been increasingly used over the last decades in a wide range of engineering and geosciences applications. The potential of many optical, acoustic, electric and electromagnetic NDT methods for stand-alone use has been widely investigated, and their use has become established in many fields of application. In addition to this, equipment reliability has tremendously grown and benefitted from new theoretical developments, technological advances in both hardware and software resources, as well as from the progress achieved in surveying, data processing and interpretation. These achievements have eventually allowed outstanding data quality and accuracy.

Nevertheless, comprehensive site investigations may require multiple expertise and equipment and involve complex and time-consuming methods and resources. To this effect, the integration between data outputs and different physical quantities, scale domains and resolutions is gaining momentum nowadays. In more detail, it is envisaged that data fusion, integration and correlation between different NDT methods and theories are to be further investigated in the near future with enormous development opportunities.

Within this framework, our intention is to collect contributions from state-of-the-art NDT methods and numerical and theoretical developments. The emphasis will be on promoting the integration of existing equipment and the development of new algorithms, surveying techniques, methods and prototypes for effective monitoring and assessment of survey sites. Non-destructive testing techniques of interest are related but not limited to the application of acoustic emission (AE) testing, electromagnetic testing (ET), ground-penetrating radar (GPR), geoelectric methods (GM), laser testing methods (LM), magnetic flux leakage (MFL), microwave testing, magnetic particle testing (MT), neutron radiographic testing (NR), radiographic testing (RT), thermal/infrared testing (IRT), ultrasonic testing (UT), seismic methods (SM), vibration analysis (VA), visual and optical testing (VT/OT).

This Special Issue will include, but not be limited to, the following set of topics:

  • advanced data fusion;
  • advanced interpretation methods;
  • design and development of new surveying equipment and prototypes;
  • assessment and monitoring methods for engineering and geoscience investigations;
  • assessment and monitoring protocols and procedures for engineering and geoscience investigations;
  • comprehensive and inclusive information data systems for the monitoring and assessment of survey sites;
  • numerical simulation and modelling of data outputs with different physical quantities, scale domains and resolutions;
  • advances in NDT methods, numerical developments and applications in engineering and geosciences (stand-alone use of existing and state-of-the-art NDTs).

Prof. Andrea Benedetto
Dr. Ilaria Catapano
Prof. Amir M. Alani
Dr. Francesco Soldovieri
Dr. Fabio Tosti
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 papers will be 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. Remote Sensing 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 2000 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

Open AccessArticle
Feasibility Study of Tractor-Test Vehicle Technique for Practical Structural Condition Assessment of Beam-Like Bridge Deck
Remote Sens. 2020, 12(1), 114; https://doi.org/10.3390/rs12010114 - 01 Jan 2020
Abstract
The tractor-test vehicle technique of non-destructive testing for indirect measurement of the modal properties of a bridge deck is revisited in this paper with several improvements for possible practical application to the structural condition assessment of a beam-like bridge deck. The effect of [...] Read more.
The tractor-test vehicle technique of non-destructive testing for indirect measurement of the modal properties of a bridge deck is revisited in this paper with several improvements for possible practical application to the structural condition assessment of a beam-like bridge deck. The effect of damping of the vehicle-bridge system is considered and the modal properties from only the first vibration mode of the structure will be used for a quick and simple assessment. The two test vehicles are designed to have the same modal frequency and damping ratio but with parameters in the follower No.2 test vehicle proportional to those in the follower No.1 test vehicle. This effectively removes the effect of road surface roughness in the response of an equivalent vehicle such that the error in the subsequent condition assessment is reduced. Through data collected on-sitetransmitted to theremote computer platform, a simple technique based on the moment-curvature relationship acceptable to practical engineers is adopted for the condition assessment with improvements in the estimation of the element bending stiffness of the deck. Scenarios with different damping, vehicle speed, road surface roughness, and local damages in the bridge structure are studied with or without temperature effect in the measurement. Through numerical simulations and field tests, the tractor-test vehicle technique of non-destructive testing with the proposed modifications and improvements has been demonstrated to give consistently accurate estimates of the element bending stiffness of the bridge deck but with a small error close to the end of the deck. Full article
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Open AccessArticle
Railway Ballast Monitoring by GPR: A Test-Site Investigation
Remote Sens. 2019, 11(20), 2381; https://doi.org/10.3390/rs11202381 - 14 Oct 2019
Abstract
Effective maintenance of railways requires a comprehensive assessment of the actual condition of the construction materials involved. In this regard, Ground-Penetrating Radar (GPR) stands as a viable alternative to the invasive and time-consuming traditional techniques for the inspection of these infrastructures. This work [...] Read more.
Effective maintenance of railways requires a comprehensive assessment of the actual condition of the construction materials involved. In this regard, Ground-Penetrating Radar (GPR) stands as a viable alternative to the invasive and time-consuming traditional techniques for the inspection of these infrastructures. This work reports the experimental activities carried out on a test-site area within a railway depot in Rome, Italy. To this purpose, a 30 m-long railway section was divided into ten sub-sections reproducing different various physical and structural conditions of the track-bed. For more detail, combinations of varying scenarios of fragmentation and fouling of the ballast were reproduced. The set-up was then investigated using different multi-frequency GPR horn antenna systems. The effects of the different physical conditions of ballast on the electromagnetic response of the material were analysed for each scenario using time- and frequency-domain signal processing techniques. Parallel to this, modelling was provided to estimate fouling content. Interpretation of results has proven the viability of the GPR method in detecting signs of decay at the network level, thereby proving this technique to be worthy of implementation in asset management systems. Full article
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