Impact Damage Detection in Laminate and Honeycomb CFRPs using Lamb Wave Ultrasonic Sensing
Source abstract
Abstract
Abstract The paper presents the results on application of Lamb waves based technique for impact damage detection and severity identification. The PZT network operates in the round-robin mode changing the actuator and sensor roles of the transducers in order to detect the response of the system in the presence of damage. The monitoring is performed via the analysis of three parameters: change of the amplitude (dA), change of the energy (dP) and cross-correlation (NCC) of the signals in baseline and damaged state. Testing of laminate CFRPs shows that the damage location is estimated with an error of 5–15 mm, while the computed Damage index is linearly dependent on the applied impact energy. For honeycomb CFRPs the NCC parameter do not provide accurate results, however, other parameters allow identification within the 5–20 mm error and reflect accurate data on the severity of the damage.
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Research context
OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Structural Health Monitoring Techniques · Non-Destructive Testing Techniques
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References (41)
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1. García Márquez, F.P. and Peco Chacón, A.M., A review of non-destructive testing on wind turbines blades, Renew. Energy, 2020, vol. 161, pp. 998–1010.10.1016/j.renene.2020.07.145 ↗
2. Schubel, P.J., Crossley, R.J., Boateng, E.K.G., and Hutchinson, J.R., Review of structural health and cure monitoring techniques for large wind turbine blades, Renew. Energy, 2013, vol. 51, pp. 113–123. https://doi.org/10.1016/j.renene.2012.08.07210.1016/j.renene.2012.08.072 ↗
3. Qing, X., Li, W., Wang, Y., and Sun, H. Piezoelectric transducer-based structural health monitoring for aircraft applications, Sensors (Switzerland), 2019, vol. 19, no. 3, pp. 1–27.10.3390/s19030545 ↗
4. Annamdas, V.G.M., Bhalla, S., and Soh, C.K., Applications of structural health monitoring technology in Asia, Struct. Health Monit., 2017, vol. 16, no. 3, pp. 324–346.10.1177/1475921716653278 ↗
5. Jamadar, N.I., Kivade, S.B., Dhande, K.K., and Pedada, S., Vibration based damage inspection in composite structures—A critical review, Int. J. Eng. Sci. Innov. Technol., 2014, vol. 3, pp. 201–208.
6. Lakhdar, M., Mohammed, D., Boudjemaa, L., Rabia, A., and Bachir, M., Damages detection in a composite structure by vibration analysis, Energy Procedia, 2013, vol. 36, pp. 888–897.10.1016/j.egypro.2013.07.102 ↗
7. Kernicky, T., Whelan, M., and Al-Shaer, E., Vibration-based damage detection with uncertainty quantification by structural identification using nonlinear constraint satisfaction with interval arithmetic, Struct. Health Monit., 2019, vol. 18, pp. 1569–1589.10.1177/1475921718806476 ↗
8. Beskhyroun, S., Wegner, L.D., and Sparling, B.F., Integral resonant control scheme for cancelling human-induced vibrations in light-weight pedestrian structures, Struct. Control Health Monit., 2011, vol. 19, no. 1, pp. 55–69.
9. Talai, S.M., Desai, D.A., and Heyns, P.S., Infrared thermography applied to the prediction of structural vibration behavior, Alexandria Eng. J., 2019, vol. 58, pp. 603–610.10.1016/j.aej.2019.03.008 ↗
10. Hwang, S., An, Y.K., and Sohn, H., Continuous-wave line laser thermography for monitoring of rotating wind turbine blades, Struct. Health Monit., 2019, vol. 18, pp. 1010–1021.10.1177/1475921718771709 ↗
11. Chen, G., Zhang, W., Zhang, Z., Jin, X., and Pang, W., A new rosette-like eddy current array sensor with high sensitivity for fatigue defect around bolt hole in SHM, NDT & E Int., 2018, vol. 94, pp. 70–78.10.1016/j.ndteint.2017.12.001 ↗
12. Sodano, H.A., Development of an Automated Eddy Current Structural Health Monitoring Technique with an Extended Sensing Region for Corrosion Detection, Struct. Health Monit. Int. J., 2007, vol. 6, pp. 111–119.10.1177/1475921706072065 ↗
13. Witos, M., Zieja, M., Fallahi, N., Zurek, Z., and Kwasniewski, J., NDE and SHM of critical parts using magnetic and electromagnetic methods, Acta Phys. Pol. A., 2018, vol. 133, pp. 697–700.10.12693/APhysPolA.133.697 ↗
14. Structural Health Monitoring (SHM) in Aerospace Structures, Amsterdam: Elsevier, 2016.
15. Wang, Y., Qiu, L., Luo, Y., Ding, R., and Jiang, F., A piezoelectric sensor network with shared signal transmission wires for structural health monitoring of aircraft smart skin, Mech. Syst. Signal Process., 2020, vol. 141, p. 106730.10.1016/j.ymssp.2020.106730 ↗
16. Wildemann, V.E., Spaskova, E.V., and Shilova, A.I., Research of the damage and failure processes of composite materials based on acoustic emission monitoring and method of digital image correlation, Solid State Phenom., 2016, vol. 243, pp. 163–170.10.4028/www.scientific.net/SSP.243.163 ↗
17. Barsuk, V.E., Stepanova, L.N., and Kabanov, S.I., Composite airplane construction acoustic emission testing during static loading, Kontrol’. Diagn., 2018, no. 4, pp. 14–19.10.14489/td.2018.04.pp.014-019 ↗
18. Stepanova, L.N., Bataev, V.A., and Chernova, V.V., Studying the failure of a CFRP sample under static loading by the acoustic-emission and fractography methods, Russ. J. Nondestr. Test., 2017, vol. 53, no. 6, pp. 422–429. https://doi.org/10.1134/S106183091706009210.1134/S1061830917060092 ↗
19. Zhou, J., Mathews, V.J., and Adams, D.O., Acoustic emissionbased impact location estimation on composite structures, Struct. Health Monit., 2019, vol. 18, pp. 1652–1668.10.1177/1475921718820521 ↗
20. Zhao, W. and Zhou, W., Cluster analysis of acoustic emission signals and tensile properties of carbon/glass fiber reinforced hybrid composites, Struct. Health Monit., 2019, vol. 18, pp. 1686–1697.10.1177/1475921719833467 ↗
21. Guemes, A., Fernandez-Lopez, A., Daz-Maroto, P., Lozano, A., and Sierra-Perez, J., Structural health monitoring in composite structures by fiber-optic sensors, Sensors, 2018, vol. 18, p. 1094.10.3390/s18041094 ↗
22. Bashkov, O.V., Romashko, R.V., Zaikov, V.I., Panin, S.V., Bezruk, M.N., Khun, K., and Bashkov, I.O. Detecting acoustic-emission signals with fiber-optic interference transducers, Russ. J. Nondestr. Test., 2017, vol. 53, pp. 415–421.10.1134/S1061830917060031 ↗
23. Kwon, H., Park, Y., Kim, J. H., and Kim, C. G., Embedded fiber Bragg grating sensor based wing load monitoring system for composite aircraft, Struct. Health Monit., 2019, vol. 18, pp. 1337–1351.10.1177/1475921719843772 ↗
24. Weiland, J., Hesser, D.F., Xiong, W., Schiebahn, A., Markert, B., and Reisgen, U., Structural health monitoring of an adhesively bonded CFRP aircraft fuselage by ultrasonic Lamb Waves, Proc. Inst. Mech. Eng. Part G. J. Aerosp. Eng. 2020, vol. 234, no. 13, pp. 2000–2010.10.1177/0954410020950511 ↗
25. Ong, W., Rajic, N., Chiu, W., and Rosalie, C., Lamb wave–based detection of a controlled disbond in a lap joint, Struct. Health Monit., 2018, vol. 17, no. 3, pp. 668–683.10.1177/1475921717715302 ↗
26. Sherafat, M.H., Guitel, R., Quaegebeur, N., Hubert, P., Lessard, L., and Masson, P., Structural health monitoring of a composite skin-stringer assembly using within-the-bond strategy of guided wave propagation, Mater. Des., 2016, vol. 90, pp. 787–794. https://doi.org/10.1016/j.matdes.2015.11.01810.1016/j.matdes.2015.11.018 ↗
27. Taleb, S., Rittmeier, L., Sinapius, M., Boubenider, F., and Schmidt, D., Experimental study of Lamb waves propagation inside an impact damage in the size of the used wavelength, Russ. J. Nondestr. Test. 2020, vol. 56, no. 2, pp. 141–150.10.1134/S1061830920020084 ↗
28. Lee, B.C. and Staszewski, W.J., Sensor location studies for damage detection with Lamb waves, Smart Mater. Struct., 2007, vol. 16, pp. 399–408.10.1088/0964-1726/16/2/019 ↗
29. Tan, Y. and Zhang, L., Computational methodologies for optimal sensor placement in structural health monitoring: a review, Struct. Health Monit., 2020, vol. 19, no. 4, pp. 1287–1308.10.1177/1475921719877579 ↗
30. Ostachowicz, W., Soman, R., and Malinowski, P., Optimization of sensor placement for structural health monitoring: A review, Struct. Health Monit., 2019, vol. 18, pp. 963–988.10.1177/1475921719825601 ↗
31. Nedospasov, I.A., Mozhaev, V.G., and Kuznetsova, I.E., Unusual energy properties of leaky backward Lamb waves in a submerged plate, Ultrasonics, 2017, vol. 77, pp. 95–99. https://doi.org/10.1016/j.ultras.2017.01.02510.1016/j.ultras.2017.01.025 ↗
32. Park, I., Jun, Y., and Lee, U., Lamb wave mode decomposition for structural health monitoring, Wave Motion, 2014, vol. 51, no. 2, pp. 335–347. https://doi.org/10.1016/j.wavemoti.2013.09.00410.1016/j.wavemoti.2013.09.004 ↗
33. Attarian, V.A., Cegla, F.B., and Cawley, P., Long-term stability of guided wave structural health monitoring using distributed adhesively bonded piezoelectric transducers, Struct. Health Monit., 2014, vol. 13, no. 3, pp. 265–280. https://doi.org/10.1177/147592171452284210.1177/1475921714522842 ↗
34. Schubert, K.J., Brauner, C., and Herrmann, A.S., Non-damage-related inuences on Lamb wave-based structural health monitoring of carbon fiber-reinforced plastic structures, Struct. Health Monit., 2013, vol. 13, pp. 158–176.10.1177/1475921713513975 ↗
35. Wandowski, T., Malinowski, P.H., and Ostachowicz, W.M., Delamination detection in CFRP panels using EMI method with temperature compensation, Compos. Struct., 2016, vol. 151, pp. 99–107. https://doi.org/10.1016/j.compstruct.2016.02.05610.1016/j.compstruct.2016.02.056 ↗
36. Dodson, J.C. and Inman, D.J. Thermal sensitivity of Lamb waves for structural health monitoring applications, Ultrasonics, 2013, vol. 53, no. 3, pp. 677–685. https://doi.org/10.1016/j.ultras.2012.10.00710.1016/j.ultras.2012.10.007 ↗
37. Kullaa, J., Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring, Mech. Syst. Signal Process., 2011, vol. 25, pp. 2976–2989.10.1016/j.ymssp.2011.05.017 ↗
38. Burkov, M., Lyubutin, P., and Byakov, A., Experimental application of Lamb wave technique for testing of CRFP, AIP Conf. Proc., 2018, vol. 2051, article ID 020043. https://doi.org/10.1063/1.508328610.1063/1.5083286 ↗
39. Burkov, M.V., Lyubutin, P.S., and Byakov, A.V., Lamb wave ultrasonic detection of barely visible impact damages of CFRP, Russ. J. Nondestr. Test., 2019, vol. 55, no. 2, pp. 89–101.10.1134/S1061830919020025 ↗
40. Lamss-composites software. http://www.me.sc.edu/research/lamss/html/software.html. Accessed November 18, 2020.
41. Zhongqing, Su and Lin, Ye., Identification of Damage Using Lamb Waves From Fundamentals to Applications, Berlin: Springer, 2009.