Advancements in Nondestructive Evaluation (NDE) Methods for Structural Health Monitoring of Civil Infrastructure
A special issue of CivilEng (ISSN 2673-4109). This special issue belongs to the section "Structural and Earthquake Engineering".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 19
Special Issue Editors
Interests: structure; concrete; nondestructive evaluation (NDE); nondestructive testing (NDT); structural health monitoring (SHM); damage detection; corrosion monitoring
Interests: ultrasound; acoustic, sound; material testing; acoustic emission; distributed acoustic sensing; noise; vibration; nonlinear; numerical; piezo
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Special Issue Information
Dear Colleagues,
This Special Issue aims to bring together innovative research and practical advancements in the field of Nondestructive Evaluation (NDE) and Testing (NDT) as applied to the Structural Health Monitoring (SHM) of infrastructure and structural materials. The Special Issue will focus on emerging technologies, methodologies, and applications of NDE and DNT techniques that support the assessment, maintenance, and life cycle management of structures such as bridges, buildings, pavements, dams, tunnels, and offshore platforms.
We welcome original research articles, case studies, and review papers that address the integration of NDE/NDT tools into SHM frameworks, the development of new sensing technologies, the use of artificial intelligence and machine learning in data interpretation, and the validation of NDE-based SHM approaches through experimental or field investigations.
Particular emphasis will be placed on contributions that:
- Enhance the reliability and accuracy of NDE and NDT methods for in situ evaluation.
- Explore the combination of multiple NDE techniques for comprehensive diagnostics.
- Utilize data fusion, modeling, and simulation for interpreting SHM data.
- Apply NDE in the detection and monitoring of damage mechanisms such as corrosion, cracking, delamination, fatigue, and debonding.
- Discuss standards, field applications, and implementation challenges in real-world scenarios.
This Special Issue aims to serve as a valuable resource for researchers, practitioners, infrastructure managers, and policy-makers engaged in structural diagnostics, asset management, and predictive maintenance.
Dr. Saman Hedjazi
Dr. Hossein Taheri
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. CivilEng 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 1400 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
- nondestructive evaluation (NDE)
- nondestructive testing (NDT)
- structural health monitoring (SHM)
- infra-structure assessment
- damage detection
- ultrasonic testing
- ground penetrating radar (GPR)
- infrared thermography
- acoustic emission
- data fusion
- AI in SHM
- corrosion monitoring
- civil structures
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