Non-damage-related influences on Lamb wave–based structural health monitoring of carbon fiber–reinforced plastic structures
Abstract
Structural health monitoring with actively excited Lamb waves is a promising technology for health monitoring of aerospace carbon fiber–reinforced plastic structures with reasonable effort, as it has the potential to cover large areas with few sensors and a high sensitivity to damage. The high signal complexity inherent to wave propagation in complex, finite, and anisotropic structures, especially in combination with the sensitivity toward environmental and operational loads, presents the main challenge on the road toward the utilization of this potential. In this study, the effects that real structural features and damage, in combination with environmental conditioning, have on Lamb wave propagation and measurement are investigated. For this, the composite-specific behavior is discussed. Based on the local temporal coherence method, changes of sensor responses containing reflections and interaction with stiffness discontinuities, both unrelated and related to damage, are identified in anisotropic composite materials. The amount of signal changes unrelated to damage, as well as their high dependency on the specific conditions of the measurements, is an indicator for the complex issues faced by compensation. While damage of a sufficient size will be detectable even in the most complex, finite, and anisotropic structures, the establishment of a sufficiently reliable damage detection with an acceptable low detection threshold will require even more careful consideration of the monitored structure and its environmental and operational loads than for metallic structures.
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Cites
A review of structural health monitoring literature 1996-2001
Farrar, C. R., Czarnecki, J. J., Hoon Sohn, A., & Hemez, F. (2002) · Cited by 1,496 · see citing works
Structural Health Monitoring with Piezoelectric Wafer Active Sensors
Giurgiutiu, V. (2014) · Elsevier eBooks · doi:10.1016/c2013-0-00155-7 · Cited by 1,418 · see citing works
Identification of Damage Using Lamb Waves
Su, Z., & Ye, L. (2009) · Lecture notes in applied and computational mechanics · doi:10.1007/978-1-84882-784-4 · Cited by 550 · see citing works
Health Monitoring Of Aerospace Structures: Smart Sensor Technologies And Signal Processing
Staszewski, W. J., Boller, C., & Tomlinson, G. R. (2017) · Cited by 508 · see citing works
Lisowski, M., & Uhl, T. (2006) · Wiley eBooks · doi:10.1002/9780470612071 · Cited by 462 · see citing works
A rapid signal processing technique to remove the effect of dispersion from guided wave signals
Wilcox, P. D. (2003) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2003.1197965 · Cited by 405 · see citing works
Health monitoring of aerospace composite structures – Active and passive approach
Staszewski, W. J., Mahzan, S., & Traynor, R. (2008) · Composites Science and Technology · doi:10.1016/j.compscitech.2008.09.034 · Cited by 401 · see citing works
Lu, Y., & Michaels, J. E. (2005) · Ultrasonics · doi:10.1016/j.ultras.2005.05.001 · Cited by 396 · see citing works
Efficient temperature compensation strategies for guided wave structural health monitoring
Croxford, A. J., Moll, J., Wilcox, P. D., & Michaels, J. E. (2009) · Ultrasonics · doi:10.1016/j.ultras.2009.11.002 · Cited by 376 · see citing works
Identification of Damage Using Lamb Waves : From Fundamentals to Applications
Su, Z., & Ye, L. (2012) · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · Cited by 335 · see citing works
The temperature stability of guided wave structural health monitoring systems
Konstantinidis, G., Drinkwater, B. W., & Wilcox, P. D. (2006) · Smart Materials and Structures · doi:10.1088/0964-1726/15/4/010 · Cited by 263 · see citing works
The Potential of Guided Waves for Monitoring Large Areas of Metallic Aircraft Fuselage Structure
Dalton, R. P., Cawley, P., & Lowe, M. J. S. (2001) · Journal of Nondestructive Evaluation · doi:10.1023/a:1010601829968 · Cited by 251 · see citing works
Detection of structural damage from the local temporal coherence of diffuse ultrasonic signals
Michaels, J. E., & Michaels, T. E. (2005) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2005.1561631 · Cited by 218 · see citing works
Clarke, T., Simonetti, F., & Cawley, P. (2009) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2009.01.052 · Cited by 201 · see citing works
The effect of load on guided wave propagation
Chen, F., & Wilcox, P. D. (2007) · Ultrasonics · doi:10.1016/j.ultras.2007.08.003 · Cited by 161 · see citing works
Clarke, T., Cawley, P., Wilcox, P. D., et al. (2009) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2009.1357 · Cited by 158 · see citing works
Lu, Y., & Michaels, J. E. (2009) · IEEE Sensors Journal · doi:10.1109/jsen.2009.2019339 · Cited by 154 · see citing works
Ultrasonic guided waves for health monitoring of high-pressure composite tanks
Castaings, M., & Hosten, B. (2008) · NDT & E International · doi:10.1016/j.ndteint.2008.03.010 · Cited by 88 · see citing works
Rheinfurth, M., Kosmann, N., Sauer, D., et al. (2012) · Composites Part A Applied Science and Manufacturing · doi:10.1016/j.compositesa.2012.03.021 · Cited by 50 · see citing works
Schubert, K., & Herrmann, A. S. (2012) · Composite Structures · doi:10.1016/j.compstruct.2012.05.029 · Cited by 35 · see citing works
Self-citationActive Health Monitoring of Aerospace Composite Structures by Embedded Piezoceramic Transducers
Paget, C. (2001) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 25 · see citing works
Los Alamos National Lab. (LANL), L. A., Matt, H., & USDOE (2006) · doi:10.2172/899976 · Cited by 13 · see citing works
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Keshmiry, A., Hassani, S., Mousavi, M., & Dackermann, U. (2023) · Buildings · doi:10.3390/buildings13040918 · Cited by 96 · see citing works
- Authors
- Schubert, K. J., Brauner, C., & Herrmann, A. S.
- Affiliations
- Faserinstitut Bremen (DE)
- University of Bremen (DE)
- ORCID
- Brauner, Christian
- Venue
- Structural Health Monitoring
- Publisher
- SAGE Publications
- Published
- 2013-12-24
- Volume
- 13
- Issue
- 2
- Pages
- 158-176
- ISSN
- 1475-9217 (ISSN-L)
- 1741-3168
- OpenAlex
- W2067649344
- Cited by
- 37
- References
- 22
- Citations by year
- 2026: 3 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 8 · 2018: 3 · 2017: 6 · 2016: 4 · 2014: 2
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Structural Health Monitoring (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Keywords
- Lamb waves, carbon fiber reinforced polymer, environmental conditioning, operational loads, anisotropic composites, stiffness discontinuity, damage detection, aerospace structures, finite structures
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