Cited by 258Structural Health Monitoring TechniquesUltrasonics and Acoustic Wave PropagationMechanical Behavior of Composites

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Open access
Hassani, Sahar, Mousavi, Mohsen, Gandomi, Amir H.·2021·Sensors

Abstract

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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Crossref · 10.3390/s22010153

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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 measured
  • In 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 measured
  • In 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 measured
  • In 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 measured
  • In 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

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References 309 · Cited by 258

Research works printed but not linked: 12

  1. [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
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  9. [276]Goodfellow I. Bengio Y. Courville A. Deep Learning MIT Press Cambridge, MA, USA 2016
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  12. [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)
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
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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