A Statistical Approach to Investigate Temperature Effects on Guided Wave Based Structural Health Monitoring
Abstract
Temperature variations can have significant effects on guide wave propagation, and therefore can increase the detection uncertainty of the structural health monitoring (SHM) system. The effect of this variation has been investigated for detecting impact damage in carbon fiber reinforced composites. Surface instrumented piezoelectric wafers are used in this work to detect the low velocity impact damage in a braided carbon fiber reinforced composite plate over a temperature range of 0 ⁰C to 60 ⁰C. The effects of temperature variation and thermal cycles on guided wave propagations in healthy composite plates are characterized first. The information is then used to develop a compensation algorithm to minimize the thermal effects on detection. A statistical damage detection and quantification approach is developed using and Auto-Regressive with eXogenous (ARX) model and local outlier analysis. The developed methodology is experimentally validated using the pitch-catch guided wave testing approach within the temperature range.
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The temperature sensitivity of structural responses is the most widely studied aspect of EOCs on damage-sensitive features.
“The temperature sensitivity of structural responses is the most widely studied aspect of EOCs on damage-sensitive features [147,148].”
From Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review (2023) · cites this paper as [147]
Cites
Matching pursuits with time-frequency dictionaries
Mallat, S., & Zhang, Z. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258082 · Cited by 9,023 · see citing works
Juang, J.-N. (1994) · Medical Entomology and Zoology · Cited by 1,028 · see citing works
Review of Guided-wave Structural Health Monitoring
Raghavan, A., & Cesnik, C. E. S. (2007) · The Shock and Vibration Digest · doi:10.1177/0583102406075428 · Cited by 990 · see citing works
Giurgiutiu, V. (2005) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x05050106 · Cited by 947 · see citing works
Damage detection in composite materials using Lamb wave methods
Kessler, S. S., Spearing, S. M., & Soutis, C. (2002) · Smart Materials and Structures · doi:10.1088/0964-1726/11/2/310 · Cited by 747 · see citing works
Rogers, S. C. (1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)90004-7 · Cited by 644 · see citing works
Energy Conversion and Management
Petrecca, G. (2014) · Springer eBooks · doi:10.1007/978-3-319-06560-1 · Cited by 642 · see citing works
Abeele, K. V. D., Johnson, P. A., & Sutin, A. (2000) · Research in Nondestructive Evaluation · doi:10.1080/09349840009409646 · Cited by 492 · see citing works
Abeele, K. E.-A. V. D., Johnson, P. A., & Sutin, A. M. (2000) · Research in Nondestructive Evaluation · doi:10.1080/09349840008968159 · Cited by 431 · see citing works
Abeele, K. V. D., Carmeliet, J., Cate, J. A. T., et al. (2000) · Research in Nondestructive Evaluation · doi:10.1080/09349840009409647 · Cited by 387 · 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
Theory of regular M-band wavelet bases
Steffen, P., Heller, P. N., Gopinath, R., & Burrus, C. S. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258088 · Cited by 302 · 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
Detecting barely visible impact damage detection on aircraft composites structures
Polimeno, U., & Meo, M. (2009) · Composite Structures · doi:10.1016/j.compstruct.2009.04.014 · Cited by 217 · see citing works
ARX model-based gearbox fault detection and localization under varying load conditions
Yang, M., & Makiš, V. (2010) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2010.07.001 · Cited by 90 · see citing works
Enhancements on local outlier detection
Chiu, A., & Fu, A. W.-C. (2003) · International Database Engineering and Applications Symposium (IDEAS) · doi:10.1109/ideas.2003.1214939 · Cited by 80 · see citing works
Guided-wave Health Monitoring of Aircraft Composite Panels under Changing Temperature
Salamone, S., Bartoli, I., di Scalea, F. L., et al. (2009) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x08101634 · Cited by 69 · see citing works
ARX and AFMM model-based on-line real-time data base diagnosis of sudden fault in AHU of VAV system
Yoshida, H., & Kumar, S. (1999) · Energy Conversion and Management · doi:10.1016/s0196-8904(99)00022-9 · Cited by 55 · see citing works
Liu, Y., Mohanty, S., & Chattopadhyay, A. (2010) · Journal of Nondestructive Evaluation · doi:10.1007/s10921-010-0076-2 · Cited by 47 · see citing works
Self-citationDamage assessment of CFRP composites using a time–frequency approach
Liu, Y., Fard, M. Y., Chattopadhyay, A., et al. (2012) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x11434171 · Cited by 41 · see citing works
Self-citationLiu, Y., Kim, S. B., Chattopadhyay, A., et al. (2011) · Journal of Spacecraft and Rockets · doi:10.2514/1.51818 · Cited by 36 · see citing works
Self-citationRommetveit, T., Johansen, T. F., & Johnsen, R. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2010.2046598 · Cited by 32 · see citing works
Lü, Y., Ye, L., Wang, D., et al. (2009) · Journal of Composite Materials · doi:10.1177/0021998309345332 · Cited by 30 · see citing works
Monte Carlo Matching Pursuit Decomposition Method for Damage Quantification in Composite Structures
Das, S. K., Kyriakides, I., Chattopadhyay, A., & Papandreou‐Suppappola, A. (2008) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x08097386 · Cited by 23 · see citing works
Self-citationChaotic insonification for health monitoring of an adhesively bonded composite stiffened panel
Fasel, T. R., & Todd, M. D. (2009) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2009.12.002 · Cited by 17 · 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
- Liu, Y., Yekani Fard, M., & Chattopadhyay, A.
- Affiliations
- Arizona State University (US)
- Venue
- 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA
- Published
- 2012-04-23
- OpenAlex
- W2324143300
- Cited by
- 2
- References
- 25
- Citations by year
- 2026: 1 · 2023: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM) (publishedVersion)
- Funders
- Arizona State University
- Air Force Office of Scientific Research
- 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
- temperature effects, guided wave propagation, structural health monitoring, impact damage detection, carbon fiber composites, piezoelectric wafers, thermal cycling, ARX model, damage quantification
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