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A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
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This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.
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“| Railway traffic | -Static/dynamic strain gauges -High-definition video cameras | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“| | | -Fiber optic sensors |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | less labor intensivity, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“| Wind | -Hygrometers -Ultrasonic and propeller anemometers | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | more accuracy and reliability, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | more cost-effectiveness. | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | suitability for continuous monitoring, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | capability for remote sensing, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | automatability, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“• | less sensitivity to EOC variations, | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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“| Highway traffic | -Dynamic weigh-in-motion stations | |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [141]
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Sorted by citations
Hassani, S., & Dackermann, U. (2023) · Sensors · doi:10.3390/s23063293 · Cited by 146
Self-citationKeshmiry, A., Hassani, S., Mousavi, M., & Dackermann, U. (2023) · Buildings · doi:10.3390/buildings13040918 · Cited by 117
Self-citationGuo, S., West, A., Papuga, J., Theodossiades, S., & Jiang, J. (2025) · Sensors · doi:10.3390/s25216531 · Cited by 4
Mohammed, B. (2026) · Sensor Review · doi:10.1108/sr-10-2025-0822 · Cited by 3
Metadata
- Authors
- Hassani, S., & Dackermann, U.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Dackermann, Ulrike
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2023-02-15
- Volume
- 23
- Issue
- 4
- Pages
- 2204
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC9965987
- OpenAlex
- W4321099465
- Cited by
- 492
- References
- 440
- Citations by year
- 2026: 158 · 2025: 190 · 2024: 112 · 2023: 32
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- 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 › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Keywords
- non-destructive testing, structural health monitoring, civil engineering structures, sensor technology, fiber optic sensors, laser vibrometry, acoustic emission, ultrasonics, infrared thermography, unmanned aerial vehicles, MEMS sensors, magnetostrictive sensors, data analytics, structural health assessment
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