AI-Powered Nondestructive Testing and Condition Assessment for Infrastructure
Special Issue Editors
Interests: NDT; concrete diagnostics; AI for infrastructure assessment; sustainable construction materials
Interests: structural engineering; smart monitoring; infrastructure maintenance; sustainable concrete
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; CNN for SHM; AI-based concrete assessment; forensic analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is rapidly transforming nondestructive testing (NDT) and condition assessment for infrastructure. Recent advances in machine learning, deep learning, computer vision, signal processing, robotics, multimodal sensing, and data fusion are creating new opportunities for more accurate, automated, and scalable inspection and diagnosis of defects and deterioration across civil and industrial infrastructure systems. This Special Issue aims to collect high-quality contributions on AI-enabled methods that enhance inspection, defect characterization, damage localization, data interpretation, predictive assessment, and maintenance decision-making. Particular emphasis is placed on technically robust and practically relevant approaches that support real-world infrastructure evaluation and management. Contributions may address experimental studies, field applications, integrated sensing-and-analytics frameworks, benchmark datasets, digital workflows, and decision-support tools. Topics of interest include, but are not limited to, computer vision for inspection, deep learning for defect identification, AI-assisted interpretation of ultrasonic, acoustic, GPR, thermographic, and other NDT data, robotics and autonomous inspection, structural health monitoring, digital twins, uncertainty-aware diagnosis, predictive maintenance, and AI-assisted asset management. Original research articles and review papers are welcome.
Dr. Amine El Mahdi Safhi
Dr. Mahdi Kioumarsi
Dr. Afaq Ahmad
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 250 words) can be sent to the Editorial Office for assessment.
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. NDT is an international peer-reviewed open access quarterly 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 1000 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
- artificial intelligence
- nondestructive testing
- nondestructive evaluation
- condition assessment
- infrastructure inspection
- machine learning
- deep learning
- computer vision
- structural health monitoring
- digital twins
- robotics
- multimodal sensing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
