SHM Monitoring Methods and Sensors with Applications to Composite Helicopter Blades: A Review

Voicu, Andrei-Daniel; Hadăr, Anton; Vlăsceanu, Daniel; Pastramă, Ştefan-Dan

doi:10.2478/aucts-2020-0001

Abstract

Structural Health Monitoring (SHM) represents a method of monitoring and assessment of the structural state of a certain component, in terms of damage identification, damage classification and monitoring of deformations and loads. The structure and purpose of different SHM methods are presented, with a review of the main types of sensors and monitoring methods available. Recent trends in implementing SHM methods in composite applications are presented, especially in aerospace structures. Also, the main advantages and disadvantages of SHM methods are being highlighted and the potential that these systems have in the technological future. The main purpose of the presented survey is to assess the best method to realize a future model of a new composite blade, equipped with sensors, that will replace the current metal tail rotor blade which equips the IAR330 military transport helicopter used by the Romanian Air Force.

References

1. C.R. Farrar, K. Worden, An introduction to structural health monitoring, Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences, Vol. 365, No. 1851, pp. 303–315, (2006).10.1098/rsta.2006.1928
Search in Google Scholar Back to article
2. W. Hou, W. Zhang, Advanced Composite Materials defects/damages and health monitoring, in Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing), Beijing, pp. 1-5, (2012).
Search in Google Scholar Back to article
3. D.M. Amafabia, D. Montalvão, O. David-West, G. Haritos, A Review of Structural Health Monitoring Techniques as Applied to Composite Structures, in SDHM Structural Durability and Health Monitoring, Vol. 11, No. 2, pp. 91-147, (2017).
Search in Google Scholar Back to article
4. M. Latifi, F.P. van der Meer, L.J. Sluys, A level set model for simulating fatigue-driven delamination in composites, International Journal of Fatigue, Vol. 80, pp. 434–442, (2015).10.1016/j.ijfatigue.2015.07.003
Search in Google Scholar Back to article
5. E. Barbieri, M. Meo, A meshfree penalty-based approach to delamination in composites, Composites Science and Technology, Vol. 69, No. 13, pp. 2169–2177, (2009).10.1016/j.compscitech.2009.05.015
Search in Google Scholar Back to article
6. N. Kharghani, C. Guedes Soares, Analysis of composite laminates containing through-the-width and embedded delamination under bending using layerwise HSDT, European Journal of Mechanics - A/Solids, Vol. 82, DOI: 10.1016/j.euromechsol.2020.104003, (2020).10.1016/j.euromechsol.2020.104003
Search in Google Scholar Back to article
7. D.Z. Zhang, H. Wang, A.R. Burks, W.L. Cong, Delamination in rotary ultrasonic machining of CFRP composites: finite element analysis and experimental implementation, International Journal Of Advanced Manufacturing Technology, Vol. 107, No. 9-10, pp. 3847-3858, (2020).
Search in Google Scholar Back to article
8. L. Banks-Sills, I. Simon, T. Chocron, Multi-directional composite laminates: fatigue delamination propagation in mode I - a comparison, International Journal Of Fracture, Vol. 219, No. 2, pp 175-185, (2019).
Search in Google Scholar Back to article
9. A. Argüelles, J. Viña, A.F. Canteli, J. Bonhomme, Fatigue delamination, initiation, and growth, under mode I and II of fracture in a carbon‐fiber epoxy composite, Polymer Composite, Vol. 31, No. 4, pp. 700–706, (2010).10.1002/pc.20855
Search in Google Scholar Back to article
10. A. Pantano, Cohesive Model for the Simulation of Crack Initiation and Propagation in Mixed-Mode I/II in Composite Materials, Applied Composite Materials, Vol. 26, No. 4, pp. 1207-1225, (2019).10.1007/s10443-019-09774-6
Search in Google Scholar Back to article
11. H.M. Hsia, I.M. Daniel, Elastic properties of composites with fiber waviness, Composites Part A: Applied Science and Manufacturing, Vol. 27, No. 10, pp. 931-941, (1996).
Search in Google Scholar Back to article
12. A. Vinet, D. Gamby, Prediction of long-term mechanical behaviour of fibre composites from the observation of micro-buckling appearing during creep compression tests, Composites Science and Technology, Vol. 68, No. 2, pp. 526–536, (2008).10.1016/j.compscitech.2007.06.032
Search in Google Scholar Back to article
13. Z. Zheng, J.J. Engblom, Fiber micro-buckling of continuous glass-fiber reinforced hollow-cored recycled plastic extrusions under long-term flexural loads, Composite Structures, Vol. 56, No. 2, pp. 157–164, (2002).10.1016/S0263-8223(01)00186-6
Search in Google Scholar Back to article
14. S. Dutton, D. Kelly, A. Baker, Composite Materials for Aircraft Structures, 2nd Edition, American Institute of Aeronautics and Astronautics, (2004).10.2514/4.861680
Search in Google Scholar Back to article
15. H.N Lia, D.S. Lia, G.B. Song, Recent applications of fiber optic sensors to health monitoring in civil engineering, Engineering Structures, Vol. 26, No. 11, pp. 1647-1657, (2004).10.1016/j.engstruct.2004.05.018
Search in Google Scholar Back to article
16. A. Guemes, Structural health monitoring by optical fibre distribute sensing, in Proceedings of 5th European Workshop on Structural Health Monitoring 2010, F. Casciati, M. Giordano, Eds, DESTech Publications Inc., pp. 18-24, (2010).
Search in Google Scholar Back to article
17. M.D. Rourke, Overview of optical-time domain reflectometry, American Ceramic Society Bulletin, Vol. 59, No. 3, pp. 342-342, (1980).
Search in Google Scholar Back to article
18. R. Di Sante, Fibre Optic Sensors for Structural Health Monitoring of Aircraft Composite Structures: Recent Advances and Applications, Sensors, Vol. 15, No. 8, pp. 18666-18713, (2015).
Search in Google Scholar Back to article
19. S. Kiran, S. Bhadra, K. Kumar, B. Sharmistha, Piezoelectric Polymer and Paper Substrates: A Review, Sensors, Vol. 18, No. 11, https://doi.org/10.3390/s18113605, (2018).10.3390/s18113605
Search in Google Scholar Back to article
20. B. Lin, V. Giurgiutiu, Modeling and testing of PZT and PVDF piezoelectric wafer active sensors, Smart Materials and Structures, Vol. 15, No. 4, pp. 1085-1093, (2006).10.1088/0964-1726/15/4/022
Search in Google Scholar Back to article
21. M. Lin, F.K. Chang, Composite Structures with built-in diagnostics, Materials Today, Vol. 2, No. 2, pp. 18-22, (1999).10.1016/S1369-7021(99)80007-8
Search in Google Scholar Back to article
22. H.S. Zheng, S.R. Zhu, Z.Q. Li, L.A. Ye, Whole Field Structural Health Monitoring by Polymer-matrix Carbon Fiber Smart Layer, in Manufacturing Processes and Systems, Pts 1-2, Edited by: Liu, XH; Jiang, ZY; Han, JT, Book Series: Advanced Materials Research, Vol. 148-149, pp. 812-817, (2011).
Search in Google Scholar Back to article
23. X. Qing, A. Kumar, C. Zhang, I.F. Gonzales, G. Guo, F.K. Chang, A hybrid piezoelectric/fiber optic diagnostic system for structural health monitoring, Smart Materials and Structures, Vol. 14, No. 3, pp. S98-S103, (2005).10.1088/0964-1726/14/3/012
Search in Google Scholar Back to article
24. M.B. Lemistre, D.L. Balageas, A Hybrid Electromagnetic Acousto-ultrasonic Method for SHM of Carbon/epoxy Structures, Structural Health Monitoring, Vol. 2, No. 2, pp. 153-160, (2003).10.1177/1475921703002002007
Search in Google Scholar Back to article
25. D. Placko, I. Dufour, Eddy-current sensors for nondestructive inspection of graphite composite-materials, in Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting, Vols. 1 and 2, pp. 1676-1682, (1992).
Search in Google Scholar Back to article
26. G. Tsamasphyros, G. Kanderakise, N. Drivas, I. Prassianakis, Application of the eddy current method and Bragg grating optical sensors for the non destructive testing of bonded composite repairs, in European NDT Days in Prague 2007: NDE for Safety, Proceedings, P. Mazal, Ed., pp. A1-A8 (2007).
Search in Google Scholar Back to article
27. J.B. Waldner, Nanocomputers and Swarm Intelligence, Wiley-ISTE, (2008).10.1002/9780470610978
Search in Google Scholar Back to article
28. V.K. Varadan, V.V. Varadan, Microsensors, microelectromechanical systems (MEMS), and electronics for smart structures and systems, Smart Materials and Structures, Vol. 9, No. 6, pp. 953-972, (2000).10.1088/0964-1726/9/6/327
Search in Google Scholar Back to article
29. * * * Fiber Optic Sensor, 2020, Retrieved 3 June 2020, from https://www.indiamart.com/proddetail/fiber-optic-sensor-21165226512.html.
Search in Google Scholar Back to article
30. * * * Piezoelectric Transducer - Buy online in India | Fab.to.Lab., 2020, Retrieved 3 June 2020, from https://www.fabtolab.com/piezoelectric-transducer-soldered.
Search in Google Scholar Back to article
31. * * * The difference between inductive proximity, displacement, and eddy-current sensors, 2020, Retrieved 3 June 2020, from https://passive-components.eu/the-difference-between-inductive-proximity-displacement-and-eddy-current-sensors/.
Search in Google Scholar Back to article
32. N. Takawane, Global MEMS Sensors for Automotive Market Industry Analysis, Trends, 2020, Retrieved 3 June 2020, from https://pmrpressrelease.com/global-mems-sensors-for-automotive-market-industry-analysis-trends/.
Search in Google Scholar Back to article
33. X.L. Qing, H.L. Chan, S.J. Beard, A. Kumar, An Active Diagnostic System for Structural Health Monitoring of Rocket Engines, Journal of Intelligent Material Systems and Structures, Vol. 17, No. 7, pp. 619-628, (2006).10.1177/1045389X06059956
Search in Google Scholar Back to article
34. Z. Su, L. Ye, Identification of Damage Using Lamb Waves - From Fundamentals to Applications, Springer, London, (2009).
Search in Google Scholar Back to article
35. S.T. Quek, P.S. Tua, J. Jin, Comparison of Plain Piezoceramics and Inter-digital Transducer for Crack Detection in Plates, Journal of Intelligent Material Systems and Structures, Vol. 18, No. 9, pp. 949-961, (2007).10.1177/1045389X06071435
Search in Google Scholar Back to article
36. Y. Lu, S.W. Ma, H.F. Zhang, S.H. Cao, Y.Y. Liu, H.Y. Zhang, Damage Index Weighted Delay-and-sum Imaging Method Based on Time Reversed Ultrasonic Lamb Wave for Damage Localization, in 5th International Conference On Systems And Informatics (ICSAI), Book Series: International Conference on Systems and Informatics, pp. 1271-1276, (2018).
Search in Google Scholar Back to article
37. C.B. Xu, Z.B. Yang, S.H. Tian, X.F. Chen, Lamb wave inspection for composite laminates using a combined method of sparse reconstruction and delay-and-sum, Composite Structures, Vol. 223, doi: 10.1016/j.compstruct.2019.110973, (2019).10.1016/j.compstruct.2019.110973
Search in Google Scholar Back to article
38. B.V.S. Sekhar, K. Balasubramaniam, C.V. Krishnamurthy, Structural health monitoring of fiber-reinforced composite plates for low-velocity impact damage using ultrasonic lamb wave tomography, Structural Health Monitoring-an International Journal, Vol. 5, No. 3, pp. 243-253, (2006).10.1177/1475921706067739
Search in Google Scholar Back to article
39. V. Giurgiutiu, C.A. Rogers, Recent advancements in the electro-mechanical (E/M) impedance method for structural health monitoring and NDE, in Proceedings of the Conference on Smart Structures and Materials, San Diego, CA, Vol. 3329 (SPIE), pp. 536–547, (1998).10.1117/12.316923
Search in Google Scholar Back to article
40. G. Park, H. Sohn, C.R. Farrar, D.J. Inman, Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward, The Shock and Vibration Digest, Vol. 35, No. 6, pp. 451-463, (2003).10.1177/05831024030356001
Search in Google Scholar Back to article
41. J.H. Han, K.H. Rew, I. Lee, An experimental study of active vibration control of composite structures with a piezo-ceramic actuator and a piezo-film sensor, Smart Materials & Structures, Vol. 6, No. 5, pp. 549-558, (1997).10.1088/0964-1726/6/5/006
Search in Google Scholar Back to article
42. S.V. Sorokin, O.A. Ershova, S.V. Grishina, The active control of vibrations of composite beams by parametric stiffness modulation, European Journal Of Mechanics A-Solids, Vol. 19, No. 5, pp. 873-890, (2000).10.1016/S0997-7538(00)00184-4
Search in Google Scholar Back to article
43. D. Sen, S. Nagarajaiah, Data-Driven Approach to Structural Health Monitoring Using Statistical Learning Algorithms, in Mechatronics for Cultural Heritage and Civil Engineering, E. Ottaviano, A. Pelliccio, V. Gattulli, Eds, Springer International Publishing AG, (2018).10.1007/978-3-319-68646-2_13
Search in Google Scholar Back to article
44. * * *, Composites and Their Applications, H. Ning, Ed., Intech, Croatia, (2012).
Search in Google Scholar Back to article
45. P. Cawley, R.D. Adams, The location of defects in structures from measurements of natural frequencies, The Journal of Strain Analysis for Engineering Design, Vol. 14, No. 2, pp. 49-57, (1979).10.1243/03093247V142049
Search in Google Scholar Back to article
46. T. Contursi, A. Messina, E.J. Williams, A Multiple-Damage Location Assurance Criterion Based on Natural Frequency Changes, Journal of Vibration and Control, Vol. 4, No. 5, pp. 619-633, (1998).10.1177/107754639800400505
Search in Google Scholar Back to article
47. C.B. Scruby, An introduction to acoustic emission, Journal of Physics E Scientific Instruments, Vol. 20, pp. 946-953, (1987).10.1088/0022-3735/20/8/001
Search in Google Scholar Back to article
48. R.A. Silva-Muñoz, R.A. Lopez-Anido, Structural health monitoring of marine composite structural joints using embedded fiber Bragg grating strain sensors, Composite Structures, Vol. 89, No. 2, pp. 224-234, (2009).10.1016/j.compstruct.2008.07.027
Search in Google Scholar Back to article
49. M. Wishaw, D.P. Barton, Comparative vacuum monitoring: a new method of in-situ real-time crack detection and monitoring, in Proceedings of 10th Asia-Pacific Conference On Nondestructive Testing, 17-21 September, Brisbane, Australia, (2001).
Search in Google Scholar Back to article
50. G. Wheatley, J. Kollgaard, J. Kristen Register, M. Zaidi, Comparative Vacuum Monitoring (CVM™) as an Alternate Means Of Compliance (AMOC), Insight - Non-Destructive Testing and Condition Monitoring, Vol. 47, No. 3, pp. 153-156, (2005).10.1784/insi.47.3.153.61318
Search in Google Scholar Back to article
51. K.L. Schaaf, Composite Materials with Integrated Embedded Sensing Networks, PhD Thesis, University of California, San Diego, (2008).
Search in Google Scholar Back to article
52. A. Kovalovs, E. Barkanov, S. Gluhihs, Active twist of model rotor blades with D-spar design, Transport, Vol. 22, No. 1, pp. 38–44, (2007).10.3846/16484142.2007.9638094
Search in Google Scholar Back to article
53. S. Nemat-Nasser, T.A. Plaisted, A. Starr, A. Vakil, Multifunctional Materials, in Biomimetics: Biologically Inspired Technologies, Y. Bar Cohen, Ed., CRC Press, (2005).
Search in Google Scholar Back to article
54. K. L. Schaaf, P. Rye, S. Nemat-Nasser, Optimization of Sensor Introduction into Laminated Composites, in Proceedings of the 2007 SEM Annual Conference and Exposition on Experimental and Applied Mechanics, (2007).
Search in Google Scholar Back to article
55. J.M. Costa, R.J. Black, B. Moslehi, L. Oblea, R. Patel, V. Sotoudeh, E. Abouzeida, V. Quinones, Y. Gowayed, P. Soobramaney, G. Flowers, Fiber-optically sensorized composite wing, in Proceedings of the SPIE - Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, W. Ecke, K.J. Peters, N.G. Meyendorf, T.E. Matikas, Eds., 9-13 March 2014, San Diego California, United States, Vol. 9062, doi: 10.1117/12.2057943, (2014).10.1117/12.2057943
Search in Google Scholar Back to article
56. P.C. Cheny, I. Chopra, Induced strain actuation of composite beams and rotor blades with embedded piezoceramic elements, Smart Materials and Structures, Vol. 5, pp. 35–48, (1996).10.1088/0964-1726/5/1/005
Search in Google Scholar Back to article

SHM Monitoring Methods and Sensors with Applications to Composite Helicopter Blades: A Review

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