Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring
Open accessAbstract
Structural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order to develop non-destructive techniques for SHM to extend the lifespan of monitored structures. This paper will review and summarize the recent advancements in non-destructive testing techniques, namely, sweep frequency approach, ground penetrating radar, infrared technique, fiber optics sensors, camera-based methods, laser scanner techniques, acoustic emission and ultrasonic techniques. Although some of the techniques are widely and successfully utilized in civil engineering, there are still challenges that researchers are addressing. One of the common challenges within the techniques is interpretation, analysis and automation of obtained data, which requires highly skilled and specialized experts. Therefore, researchers are investigating and applying artificial intelligence, namely machine learning algorithms to address the challenges. In addition, researchers have combined multiple techniques in order to improve accuracy and acquire additional parameters to enhance the measurement processes. This study mainly focuses on the scope and recent advancements of the Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber and steel structures.
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ML algorithms can interpret signals or images to analyze, inspect, and examine material integrity.
“They can interpret signals or images to analyze, inspect, and examine material integrity [248-250].”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [250]
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Self-citation
Flagged first, then by citations
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Cited by
Sorted by citations
Keshmiry, A., Hassani, S., Mousavi, M., & Dackermann, U. (2023) · Buildings · doi:10.3390/buildings13040918 · Cited by 96 · see citing works
- Authors
- Kot, P., Muradov, M., Gkantou, M., Kamaris, G. S., Hashim, K., & Yeboah, D.
- Affiliations
- Liverpool John Moores University (GB)
- University of Babylon (IQ)
- Corresponding author
- Kot, Patryk
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2021-03-18
- Volume
- 11
- Issue
- 6
- Pages
- 2750
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W3138954570
- Cited by
- 279
- References
- 129
- Citations by year
- 2026: 43 · 2025: 77 · 2024: 54 · 2023: 51 · 2022: 32 · 2021: 22
- FWCI
- 20.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- Liverpool John Moores University (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- structural health monitoring, non-destructive testing, ground penetrating radar, infrared thermography, fiber optic sensors, camera-based inspection, laser scanning, acoustic emission, ultrasonic testing, concrete structures, masonry structures, timber structures, steel structures, infrastructure maintenance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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