Review on Strain Monitoring of Aircraft Using Optical Fibre Sensor

Authors

  • Priyanka Desai Kakade Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576106, Karnataka, India http://orcid.org/0000-0002-0131-391X
  • Monica Murthy N Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576106, Karnataka, India

Abstract

Structural health monitoring of aircraft assures safety, integrity and reduces cost-related concerns by reducing the number of times maintenance is required. Under aerodynamic loading, aircraft is subjected to strain, in turn causing damage and breakdown. This paper presents a review of experimental works, which focuses on monitoring strain of various parts of aircraft using optical fibre sensors. In addition, this paper presents a discussion and review on different types of optical fibre sensors used for structural health monitoring (SHM) of aircraft. However, the focus of this paper is on fibre bragg gratings (FBGs) for strain monitoring.  Here, FBGs are discussed in detail because they have proved to be most viable and assuring technology in this field. In most cases of strain monitoring, load conditioning and management employs finite element method (FEM). However, more effort is still required in finding the accurate positions in real time where the sensors can be placed in the structure and responds under complex deformation.

Author Biographies

Priyanka Desai Kakade, Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576106, Karnataka, India

Assistant Professor

Monica Murthy N, Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576106, Karnataka, India

MTech (Avionics) student

References

C. Boller, State-of-the-art in structural health monitoring for aeronautics, Int. Symp. NDT Aerosp. (2008) 1–8. http://www.hf.faa.gov/docs/508/docs/drury_doc.pdf%5Cnhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.151.7689&rep=rep1&type=pdf.

H. Sohn, C.R. Farrar, F. Hemez, J. Czarnecki, A Review of structural health, Library.Lanl.Gov. (2001) 1–7. https://library.lanl.gov/cgi-bin/getfile?00796820.pdf.

J.P. Lynch, A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring, Shock Vib. Dig. 38 (2006) 91–128. https://doi.org/10.1177/0583102406061499.

J.D. Achenbach, Structural health monitoring - What is the prescription?, Mech. Res. Commun. 36 (2009) 137–142. https://doi.org/10.1016/j.mechrescom.2008.08.011.

S. Alla, S.S. Asadi, Integrated methodology of structural health monitoring for civil structures, Mater. Today Proc. 27 (2020) 1066–1072. https://doi.org/10.1016/j.matpr.2020.01.435.

H.N. Li, D.S. Li, L. Ren, T.H. Yi, Z.G. Jia, K.P. Li, Structural health monitoring of innovative civil engineering structures in Mainland China, Struct. Monit. Maint. 3 (2016) 1–32. https://doi.org/10.12989/smm.2016.3.1.001.

G. Prakash, A. Sadhu, S. Narasimhan, J.M. Brehe, Initial service life data towards structural health monitoring of a concrete arch dam, Struct. Control Heal. Monit. 25 (2018) 1–19. https://doi.org/10.1002/stc.2036.

P. Bukenya, P. Moyo, H. Beushausen, C. Oosthuizen, Health monitoring of concrete dams: A literature review, J. Civ. Struct. Heal. Monit. 4 (2014) 235–244. https://doi.org/10.1007/s13349-014-0079-2.

T. Harms, S. Sedigh, F. Bastianini, Structural Health Monitoring of Bridges Using Wireless Sensor Networks, IEEE Instrum. Meas. Mag. 13 (2010) 14–18. https://doi.org/10.1109/MIM.2010.5669608.

J. Liu, S. Chen, M. Bergés, J. Bielak, J.H. Garrett, J. Kovačević, H.Y. Noh, Diagnosis algorithms for indirect structural health monitoring of a bridge model via dimensionality reduction, Mech. Syst. Signal Process. 136 (2020). https://doi.org/10.1016/j.ymssp.2019.106454.

M. Vagnoli, R. Remenyte-Prescott, J. Andrews, Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges, Struct. Heal. Monit. 17 (2018) 971–1007. https://doi.org/10.1177/1475921717721137.

C. Vendittozzi, G. De Canio, I. Aerospaziale, C. Paris, A. Colucci, Smasis2015-8922, Struct. Heal. Monit. Pipelines Environ. Pollut. Mitig. (2017) 1–7.

S. Beskhyroun, L.D. Wegner, B.F. Sparling, Integral resonant control scheme for cancelling human-induced vibrations in light-weight pedestrian structures, Struct. Control Heal. Monit. (2011) n/a-n/a. https://doi.org/10.1002/stc.

N.M. Okasha, D.M. Frangopol, A. Decò, Integration of structural health monitoring in life-cycle performance assessment of ship structures under uncertainty, Mar. Struct. 23 (2010) 303–321. https://doi.org/10.1016/j.marstruc.2010.07.004.

A. Kefal, An efficient curved inverse-shell element for shape sensing and structural health monitoring of cylindrical marine structures, Ocean Eng. 188 (2019) 106262. https://doi.org/10.1016/j.oceaneng.2019.106262.

J. Solimine, C. Niezrecki, M. Inalpolat, An experimental investigation into passive acoustic damage detection for structural health monitoring of wind turbine blades, Struct. Heal. Monit. 19 (2020) 1711–1725. https://doi.org/10.1177/1475921719895588.

F. Lorenzoni, M. Caldon, F. da Porto, C. Modena, T. Aoki, Post-earthquake controls and damage detection through structural health monitoring: applications in l’Aquila, J. Civ. Struct. Heal. Monit. 8 (2018) 217–236. https://doi.org/10.1007/s13349-018-0270-y.

C. Boller, Ways and options for aircraft structural, Smart Mater. Struct. 10 (2001) 432–440.

B.L. Shang, B.F. Song, F. Chang, New sensor technologies in aircraft structural health monitoring, Proc. 2008 Int. Conf. Cond. Monit. Diagnosis, C. 2008. (2008) 701–704. https://doi.org/10.1109/CMD.2008.4580381.

T. Yari, M. Ishioka, K. Nagai, M. Ibaragi, K. Hotate, Y. Koshioka, Monitoring Aircraft Structural Health Using Optical Fiber Sensors, Tech. Rev. 45 (2008).

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Published

2024-04-19

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Review