Structural Health Monitoring in Composite Structures: A Comprehensive Review
Open accessAbstract
This study presents a comprehensive review of the history of research and development of different damage-detection methods in the realm of composite structures. Different fields of engineering, such as mechanical, architectural, civil, and aerospace engineering, benefit excellent mechanical properties of composite materials. Due to their heterogeneous nature, composite materials can suffer from several complex nonlinear damage modes, including impact damage, delamination, matrix crack, fiber breakage, and voids. Therefore, early damage detection of composite structures can help avoid catastrophic events and tragic consequences, such as airplane crashes, further demanding the development of robust structural health monitoring (SHM) algorithms. This study first reviews different non-destructive damage testing techniques, then investigates vibration-based damage-detection methods along with their respective pros and cons, and concludes with a thorough discussion of a nonlinear hybrid method termed the Vibro-Acoustic Modulation technique. Advanced signal processing, machine learning, and deep learning have been widely employed for solving damage-detection problems of composite structures. Therefore, all of these methods have been fully studied. Considering the wide use of a new generation of smart composites in different applications, a section is dedicated to these materials. At the end of this paper, some final remarks and suggestions for future work are presented.
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Active SHM enables direct and targeted detection and evaluation of structural damage, resulting in more reliable and accurate health assessment.
“On the other hand, active SHM enables the direct and targeted detection and evaluation of structural damage resulting in more reliable and accurate health assessment.”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 6, “Smart Structures” (page not specified), describes actuator-and-sensor systems that induce vibrations, measure the response, and analyze it to identify and characterize damage. That supports the detection and evaluation part of the claim, but the copy does not establish that active SHM produces more reliable or accurate health assessments. (LLM, conf=0.83)
Experimental — accuracy not yet measuredIn composite materials, Fiber crack has a strong influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 6 (Self-Sensing Composites; page unavailable) says damage disrupts the electrical resistivity of conducting elements in some composites, supporting a link between damage and conductivity. Section 2.2 (page unavailable) identifies fiber cracks as strongly affecting stiffness, but does not say they strongly affect conductivity. The specific strength and generality of the claimed conductivity effect are therefore unsupported. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn composite materials, Matrix crack has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 3.2 says mass is the least sensitive structural property to damage, and the Introduction identifies matrix cracking as a damage mechanism. The copy does not specifically establish how strongly matrix cracks affect mass, so the claim is more specific than the evidence. (LLM, conf=0.82)
Experimental — accuracy not yet measuredIn composite materials, Matrix crack has an average influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 3.2 says damage can influence damping, and Section 2.1 identifies matrix cracking as a form of composite damage. Neither passage establishes that matrix cracks have an average influence on damping; the discussion of Table 3 in Section 2.2 does not state that specific rating. (LLM, conf=0.79)
Experimental — accuracy not yet measuredIn composite materials, Notch has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 3.2 (page unavailable) says mass is the structural property least sensitive to damage, supporting a weak effect on mass in general. The passages do not establish that this specifically holds for a notch; a search for notch and mass found no notch-specific statement. (LLM, conf=0.73)
Experimental — accuracy not yet measured
In composite materials, Delamination has an average influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
The Introduction identifies delamination as a failure mechanism in composites, and §3.2.5 says damage can influence damping. However, the passages do not specify how strongly delamination affects damping; §2.2 refers to Table 3 without stating the claimed average influence. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn composite materials, Fiber crack has an average influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 3.2.5 (page unavailable) says damage can influence damping, and Section 2.2 says composite stiffness is highly sensitive to fiber cracks. Neither passage establishes that fiber cracks have an average influence on damping; that specific pairing and degree of influence are unsupported. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn composite materials, Delamination has an average influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
The Introduction identifies delamination as a major failure mechanism and says damage can compromise the stiffness of composite structures. Section 2.2 discusses stiffness sensitivity to other factors, but the available passages do not characterize delamination’s influence on stiffness as average. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn composite materials, Moisture has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Electromagnetic Radiation has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Mechanical Load has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Mechanical Load has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Electromagnetic Radiation has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Electromagnetic Radiation has a weak influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Delamination has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Temperature has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Mechanical Load has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Mechanical Load has a weak influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Moisture has a strong influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Electromagnetic Radiation has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Mechanical Load has a weak influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Electromagnetic Radiation has a weak influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Fiber crack has a strong influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Temperature has a strong influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Moisture has a strong influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
In composite materials, Moisture has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2, Environmental Variations Effects (page unavailable), says moisture strongly affects composite stiffness and mass. It describes a moderate effect on material conductivity for mechanical load and electromagnetic radiation, but does not state how moisture affects conductivity. Searches for the Table 3 conductivity row and for moisture’s effect on conductivity did not resolve the claim in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Notch has an average influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses how temperature, moisture, and fiber cracks affect composite stiffness, and points to Table 3 for other effects. The available passages do not state how a notch affects stiffness or rate its influence as average (searched: notch, notches, and notch influence on stiffness). (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Matrix crack has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
The Introduction identifies matrix cracking as a composite failure mechanism, while Section 2.2 says boundary formation is least influenced by temperature and humidity. Neither passage states how matrix cracking affects boundary formation. Searches for the Table 3 row and for a matrix-crack–boundary-formation relationship did not find that comparison in our copy. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Temperature has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses temperature effects on composite stiffness, modulus, and strength, but does not state its influence on conductivity. Its discussion of conductivity describes moderate effects from mechanical load and electromagnetic radiation; searches for temperature and conductivity did not establish the claimed average influence. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Dirt has a strong influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses environmental effects on composite properties and refers to Table 3, but the passages in our copy do not state that dirt strongly influences damping. Section 3.2 discusses damping in relation to damage, not dirt; searches for “dirt” and “Table 3 damping dirt” found no passage establishing the claimed relationship. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Dirt has a weak influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses effects on composite material conductivity and refers to Table 3, but the passages in our copy do not give a dirt–conductivity entry. Searches for “dirt” and “Table 3 material conductivity dirt weak influence” found no passage establishing the claimed weak influence. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Dirt has an average influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 (page unavailable) discusses boundary formation and says it is least influenced by temperature and humidity, but it does not state dirt’s effect. Searches for dirt, contamination, and the cited table row found no passage in our copy establishing an average influence from dirt. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Fiber crack has a weak influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says boundary formation is least influenced by temperature and humidity, but does not state how fiber cracks affect it. A search for “boundary formation” found no passage in our copy establishing the claimed weak influence of fiber cracks. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Notch has a weak influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 refers to Table 3 on how damage mechanisms affect composite properties, but the passages in our copy do not provide its entries. Section 3.2.5 says damage can influence damping without addressing notches or the strength of their effect. Searches for “notch” and “notch damping” found no passage that settles the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Notch has a strong influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2, “Environmental Variations Effects” (page unavailable), discusses boundary formation in relation to temperature and humidity, not notches. Searches for “notch boundary formation” and “Notch” found no passage in our copy addressing whether a notch strongly influences boundary formation. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Temperature has an average influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses temperature effects on composite stiffness, strength, and other properties, but the passages available from our copy do not give a temperature–damping rating. Section 3.2.5 discusses damping in damage detection, not its response to temperature. Searches for the Table 3 damping row and for temperature-related damping did not establish the claimed average influence. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Temperature has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says composite mass is highly sensitive to moisture, but does not state how sensitive mass is to temperature. Searches for temperature–mass sensitivity and Table 3 did not yield a passage confirming the claimed weak influence. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Fiber crack has a weak influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says fiber cracks strongly affect stiffness and moisture strongly affects mass, but it does not state how fiber cracks affect mass. Searches for the Table 3 mass–fiber-crack entry did not retrieve that relationship from our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Moisture has an average influence on damping.
“| Damping | - | • | • | • | • | + | • | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses moisture’s effects on composite properties and introduces Table 3, but the passages in our copy do not give a moisture–damping rating. Section 3.2.5 discusses damping without linking it to moisture. Searches for the Table 3 damping entry and for an average influence of moisture on damping did not establish the claim. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Notch has a strong influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses effects on composite conductivity, but the passage identifies mechanical load and electromagnetic radiation, not notches. A search for “notch” found no passage in our copy establishing a strong effect on conductivity; the described Table 3 relationship cannot be verified from the available text. (LLM, conf=0.68)
Experimental — accuracy not yet measuredIn composite materials, Matrix crack has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 discusses moderate effects on composite conductivity from mechanical load and electromagnetic radiation, but does not state the effect of matrix cracking. The Introduction identifies matrix cracking as a failure mechanism. Searches for matrix cracks and conductivity did not yield a passage connecting them or rating the influence as average. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Delamination has an average influence on material conductivity.
“| Material conductivity | + | • | + | • | • | - | • | • | • |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says mechanical load and electromagnetic radiation have relatively moderate effects on composite conductivity, but does not say this about delamination. Section 2.1 discusses delamination as a failure mechanism without addressing its effect on conductivity. The claim cannot be verified from the passages in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measuredIn composite materials, Dirt has a strong influence on mass.
“| Mass | - | - | - | - | - | + | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says the mass of composite components is highly sensitive to moisture, but it does not discuss dirt's effect on mass. Searches for “dirt” and dirt-related effects on mass found no passage addressing that claim in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measuredIn composite materials, Delamination has a strong influence on boundary formation.
“| Boundary formation | + | - | - | + | - | • | - | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
The Introduction identifies delamination as a major failure mechanism, while §2.2 (Environmental Variations Effects; page unavailable) discusses boundary formation only in relation to temperature and humidity. Searches for “boundary formation” and for a delamination–boundary relationship found no passage stating that delamination strongly influences boundary formation. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn composite materials, Matrix crack has an average influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says composite material stiffness is highly sensitive to fiber cracks, but it does not state the effect of matrix cracks or rate it as average. I searched for Table 3’s matrix-crack/stiffness entry and for matrix cracking and stiffness; no passage in our copy available here establishes that rating. (LLM, conf=0.69)
Experimental — accuracy not yet measuredIn composite materials, Dirt has a weak influence on material stiffness.
“| Material stiffness | • | • | + | • | + | - | + | - | - |”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [58]
Section 2.2 says composite stiffness is highly sensitive to temperature, moisture, and fiber cracks, but does not state how dirt affects stiffness. I searched the indexed copy for dirt and contamination; the passage describing Table 3 does not include the table’s entries, so the claimed weak influence cannot be verified. (LLM, conf=0.70)
Experimental — accuracy not yet measured
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References 309 · Cited by 258
Research works printed but not linked: 12
- [25]Ali Z.A.A.A. Kadhim A.A. Al-Khayat R.H. Al-Waily M. Review Influence of Loads upon Delamination Buckling in Composite Structures J. Mech. Eng. Res. Dev. 2021 44 392 406
- [35]Peters S.T. Handbook of Composites Springer Science & Business Media Berlin/Heidelberg, Germany 2013
- [68]Abe M. Fujino Y. Yanagihara M. Sato M. Monitoring of hakucho suspension bridge by ambient vibration measurement Proceedings of the Nondestructive Evaluation of Highways, Utilities, and Pipelines IV Newport Beach, CA, USA 6–8 March 2000 International Society for Optics and Photonics Bellingham, WA, USA 2000 Volume 3995 237 244
- [136]Hassani S. Mousavi M. Gandomi A.H. Minimising Noise Effects in Structural Health Monitoring Using HilbertTransform of the Condensed FRF Proceedings of the International Workshop on Structural Health Monitoring Stanford, CA, USA 15–17 March 2021
- [144]Rytter A. Vibrational Based Inspection of Civil Engineering Structures Ph.D. Thesis Department of Building Technology and Structural Engineering, Aalborg University Aalborg, Denmark 1993
- [145]Allemang R.J. A correlation coefficient for modal vector analysis Proceedings of the 1st International Modal Analysis Conference Orlando, FL, USA 8–10 November 1982 110 116
- [155]Ho Y. Ewins D. On the structural damage identification with mode shapes Proceedings of the European COST F3 Conference on System Identification and Structural Health Monitoring Madrid, Spain 6–9 June 2000 Volume 1
- [207]Friswell M. Mottershead J.E. Finite Element Model Updating in Structural Dynamics Springer Science & Business Media Berlin/Heidelberg, Germany 2013 Volume 38
- [276]Goodfellow I. Bengio Y. Courville A. Deep Learning MIT Press Cambridge, MA, USA 2016
- [277]Hsu F.H. Behind Deep Blue: Building the Computer That Defeated the World Chess Champion Princeton University Press Princeton, NJ, USA 2002
- [299]Pouyanfar S. Sadiq S. Yan Y. Tian H. Tao Y. Reyes M.P. Shyu M.L. Chen S.C. Iyengar S.S. A survey on deep learning: Algorithms, techniques, and applications ACM Comput. Surv. 2018 51 92 10.1145/3234150 · DOI
- [313]Gandhi M.V. Thompson B. Smart Materials and Structures Springer Science & Business Media Berlin/Heidelberg, Germany 1992
- Authors
- Hassani, S., Mousavi, M., & Gandomi, A. H.
- Affiliations
- Ferdowsi University of Mashhad (IR)
- University of Technology Sydney (AU)
- Corresponding author
- Mousavi, Mohsen
- Gandomi, Amir H.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-12-27
- Volume
- 22
- Issue
- 1
- Pages
- 153
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC8747674
- OpenAlex
- W4200477154
- Cited by
- 258
- References
- 309
- Citations by year
- 2026: 60 · 2025: 78 · 2024: 60 · 2023: 47 · 2022: 13
- FWCI
- 4.23
- 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 › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Physical Sciences › Engineering › Mechanics of Materials › Mechanical Behavior of Composites
- Keywords
- structural health monitoring, composite structures, damage detection, vibration-based damage detection, non-destructive testing, vibro-acoustic modulation, delamination, impact damage, matrix cracking, fiber breakage, voids, smart composites, deep learning
- MeSH terms
- Machine Learning, Acoustics, Algorithms, Signal Processing, Computer-Assisted, Vibration
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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.
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