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

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.2006.1928Search in Google Scholar

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

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

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.2015.07.003Search in Google Scholar

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.2009.05.015Search in Google Scholar

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.2020.104003Search in Google Scholar

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

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

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.20855Search in Google Scholar

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/s10443-019-09774-6Search in Google Scholar

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

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.2007.06.032Search in Google Scholar

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)00186-6Search in Google Scholar

14. S. Dutton, D. Kelly, A. Baker, Composite Materials for Aircraft Structures, 2^nd Edition, American Institute of Aeronautics and Astronautics, (2004).10.2514/4.861680Search in Google Scholar

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.2004.05.018Search in Google Scholar

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

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

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

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/s18113605Search in Google Scholar

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).10.1088/0964-1726/15/4/022Search in Google Scholar

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)80007-8Search in Google Scholar

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

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).10.1088/0964-1726/14/3/012Search in Google Scholar

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).10.1177/1475921703002002007Search in Google Scholar

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

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

27. J.B. Waldner, Nanocomputers and Swarm Intelligence, Wiley-ISTE, (2008).10.1002/9780470610978Search in Google Scholar

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).10.1088/0964-1726/9/6/327Search in Google Scholar

29. * * * Fiber Optic Sensor, 2020, Retrieved 3 June 2020, from https://www.indiamart.com/proddetail/fiber-optic-sensor-21165226512.html.Search in Google Scholar

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

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

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

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).10.1177/1045389X06059956Search in Google Scholar

34. Z. Su, L. Ye, Identification of Damage Using Lamb Waves - From Fundamentals to Applications, Springer, London, (2009).Search in Google Scholar

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).10.1177/1045389X06071435Search in Google Scholar

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

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.2019.110973Search in Google Scholar

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).10.1177/1475921706067739Search in Google Scholar

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).10.1117/12.316923Search in Google Scholar

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).10.1177/05831024030356001Search in Google Scholar

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).10.1088/0964-1726/6/5/006Search in Google Scholar

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)00184-4Search in Google Scholar

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_13Search in Google Scholar

44. * * *, Composites and Their Applications, H. Ning, Ed., Intech, Croatia, (2012).Search in Google Scholar

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).10.1243/03093247V142049Search in Google Scholar

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).10.1177/107754639800400505Search in Google Scholar

47. C.B. Scruby, An introduction to acoustic emission, Journal of Physics E Scientific Instruments, Vol. 20, pp. 946-953, (1987).10.1088/0022-3735/20/8/001Search in Google Scholar

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.2008.07.027Search in Google Scholar

49. M. Wishaw, D.P. Barton, Comparative vacuum monitoring: a new method of in-situ real-time crack detection and monitoring, in Proceedings of 10^th Asia-Pacific Conference On Nondestructive Testing, 17-21 September, Brisbane, Australia, (2001).Search in Google Scholar

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.47.3.153.61318Search in Google Scholar

51. K.L. Schaaf, Composite Materials with Integrated Embedded Sensing Networks, PhD Thesis, University of California, San Diego, (2008).Search in Google Scholar

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).10.3846/16484142.2007.9638094Search in Google Scholar

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

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

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).10.1117/12.2057943Search in Google Scholar

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).10.1088/0964-1726/5/1/005Search in Google Scholar