Special Issue "Remote Sensing for Infrastructure Assessment Using NDTs and Intelligent Data Analysis: New Trends and Challenges"
Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 19159
Interests: GPR; NDT; health assessment of critical infrastructure; buried asset assessment; intelligent data analysis; machine learning methods; multi-agent systems; artificial intelligence and data mining; complex system analysis; water distribution systems; resilience.
Interests: ground penetrating radar; NDT applied to structural damage assessment; structural health monitoring; transport infrastructure inspection; masonry structures; seismic risk assessment; civil engineering; numerical modelling and data analysis
Special Issues, Collections and Topics in MDPI journals
2. The Faringdon Centre for Non-Destructive Testing and Remote Sensing, University of West London, Room BY.GF.015, St. Mary’s Rd., Ealing, London W5 5RF, UK
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based methods; numerical simulations; forestry engineering; airfield and highway pavement engineering; construction materials; civil engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Sensing Advancement and Health Monitoring of Transport Structures
Special Issue in Remote Sensing: Advances in Signal Processing Techniques for Ground Penetrating Radar Applications
Special Issue in Infrastructures: Research and Developments in Pavements
Special Issue in Remote Sensing: Remote Sensing in Civil and Environmental Engineering
Special Issue in Remote Sensing: Sensing, Processing and Data Fusion for Non-destructive Testing and Earth Observation
Interests: structural health monitoring; NDT techniques for concrete; scour; assessment of impact of traffic loads; scour resilience
The integration of nondestructive testing (NDT) techniques with intelligent data analysis such as machine learning and artificial intelligence has become crucial to achieve an efficient interpretability of the vast amount of information collected today, both on site and remotely. To this end, advances in the interpretability of NDT data can have a clear impact on aspects such as the development of semi-autonomous/autonomous evaluations of target features and the implementation of characterization analysis tools (e.g., multiagent systems, data clustering approaches) for infrastructure assessment. Progress in these areas of research can ultimately be reflected in the provision of support to expert and less experienced operators in the interpretation of data for infrastructure health monitoring purposes.
In this context, the development of new algorithms and paradigms for the advanced analysis of NDT data is crucial to provide asset owners with more informative decisions based on the actual level of damage occurring on infrastructures. Their resilience to potential unfavorable conditions can therefore be increased and, in general, adequately supported by methodologies based on actual performance analysis. However, a gap in knowledge in terms of exploiting the informative content of NDT measurements at full capacity and making this information more user-friendly and interpretable to end-users has been observed.
The purpose of this Special Issue titled “Remote Sensing for Infrastructure Assessment Using NDTs and Intelligent Data Analysis: New Trends and Challenges” therefore aims to collect state-of-the-art material in the remote sensing area for the nondestructive assessment of infrastructures, including transport infrastructures (highways, railways and airfields), buildings, pipes, and soil foundations. A special focus will be on collecting contributions related to the intelligent data analysis of complex systems integrated with NDT techniques. Experimental, numerical, and theoretical research involving the construction, quality control, repair, and maintenance of infrastructures will be considered.
Topics of interest include (but are not limited to) the following:
- Nondestructive assessment of infrastructures (transport infrastructures, buildings, pipes, and soil foundations);
- NDTs and ML/Artificial Intelligence integration to increase information interpretability;
- Intelligent data analysis of complex systems;
- Advanced data processing of NDT datasets;
- Machine-learning-based models for NDTs;
- Physical-based modeling approaches (e.g., artificial neural networks);
- Building information modeling (BIM);
- Innovative techniques for data collection, treatment, and storage for the application of machine learning analyses.
Review papers in the above-outlined research areas, methodologies, and applications for the integration of NDTs and machine-learning-based approaches will also be considered.
Prof. Dr. David Ayala-Cabrera
Dr. Mezgeen Rasol
Prof. Dr. Fabio Tosti
Prof. Dr. Franziska Schmidt
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. 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 2700 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.
- Nondestructive testing
- Remote sensing techniques
- Radar-based techniques
- Infrastructure assessment
- Infrastructure resilience enhancement
- Intelligent data analysis
- Advances in NDT dataset interpretability