Smart Structures and Systems

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Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks

  • Mahzan, Shahruddin (Department of Mechanical Engineering, Sheffield University) ;
  • Staszewski, Wieslaw J. (Department of Mechanical Engineering, Sheffield University) ;
  • Worden, Keith (Department of Mechanical Engineering, Sheffield University)
  • Received : 2008.04.10
  • Accepted : 2009.10.10
  • Published : 2010.03.25
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Abstract

Impact damage detection in composite structures has gained a considerable interest in many engineering areas. The capability to detect damage at the early stages reduces any risk of catastrophic failure. This paper compares two advanced signal processing methods for impact location in composite aircraft structures. The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. A series of impacts is performed experimentally on a composite aircraft wing-box structure instrumented with low-profile, bonded piezoceramic sensors. The strain data are used for learning in the Neural Network approach. The triangulation procedure utilises the same data to establish impact velocities for various angles of strain wave propagation. The study demonstrates that both approaches are capable of good impact location estimates in this complex structure.

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References

  1. Cardi, A.A., Adams, D.E. and Walsh, S. (2006), "Ceramic body armor single impact identification on a compliant torso using acceleration response mapping", Struct. Health Monit., 5(4), 355-372. https://doi.org/10.1177/1475921706067763
  2. Choi, K. and Chang, F.K. (1996), "Identification of impact force and location using distributed sensors", American Institute of Aeronautics and Astronautics J., 34(1), 136-142. https://doi.org/10.2514/3.13033
  3. Coverley, P.T. and Staszewski, W.J. (2002), "Impact damage location in composite structures using genetic algorithms", Proc. of the 1st European Workshop on Structural Health Monitoring, Paris, France, 271-278.
  4. Coverley, P.T. and Staszewski, W.J. (2003), "Impact damage location in composite structures using optimized sensor triangulation procedure", Smart. Mater. Struct., 12, 1-9. https://doi.org/10.1088/0964-1726/12/1/301
  5. Gardiner, D.S. and Pearson, L.H. (1985), Acoustic emission monitoring of composite damage under static and impact loading, Technical report, Hercules Aerospace Co. Magna UT.
  6. Goldberg, D.E. (1989), Genetic algorithms in search optimisation, and machine learning, Reading, MA, Addison-Wesley.
  7. Gunther, M.F., Wang, A., Fogg, R.P., Starr, S.E., Murphy, K.A. and Claus, R.O. (1992), "Fibre optic impact detection and location system embedded in a composite material", SPIE Proc. of the Fibre Optic Smart Structures and Skins IV, 1588, 64-75.
  8. Hahn, H.T., Wilkerson, B. and Stuart, J. (1994), "An artificial neural network for low-energy impact monitoring", J. Thermoplast. Compos., 7(4), 344-351. https://doi.org/10.1177/089270579400700404
  9. Haywood, J., Coverley, P.T., Staszewski, W.J. and Worden, K. (2005), "An automatic impact monitor for a composite panel employing smart sensor technology", Smart. Mater. Struct., 14, 1-7. https://doi.org/10.1088/0964-1726/14/1/001
  10. Haywood, J., Staszewski, W.J. and Worden, K. (2001), "Impact location in composite structures using smart sensor technology and neural networks", Proc. of the 3rd Int. Workshop on Structural Health Monitoring, Stanford, California, 1466-1475.
  11. Holland, J.H. (1975), Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor.
  12. Kessler, S.S. and Raghavan, R. (2008), "Vector-based localization for damage position identification from a single SHM node", Proc. of the 1st Int. Workshop on Prognostics & Health Management, Denver, Colorado, 6-9 October.
  13. Le Clerc, J.R., Worden, K., Staszewski, W.J. and Haywood, J. (2004), "Impact detection in an aircraft composite panel - a neural network approach", Proc. of the 2nd European Workshop on Structural Health Monitoring, Munich, Germany, 407-414.
  14. Le Clerc, J.R., Worden, K., Staszewski, W.J. and Haywood, J. (2007), "Impact detection in an aircraft composite panel - a neural-network approach", J. Sound Vib., 299, 672-682. https://doi.org/10.1016/j.jsv.2006.07.019
  15. Mahzan, S. (2007), Impact location in composite structures using advanced signal processing procedures, PhD thesis, Department of Mechanical Engineering, University of Sheffield.
  16. Meo, M., Zumpano, G., Piggott, M. and Marengo, G. (2005), "Impact identification on a sandwich plate from wave propagation response", Compos. Struct., 71, 302-306. https://doi.org/10.1016/j.compstruct.2005.09.028
  17. Mujica, L.E., Vehi, J., Ruiz, M.L., Verleysen, M., Staszewski, W.J. and Worden, K. (2008), "Multivariate statistics process control for dimensionality reduction in structural assessment", Mech. Syst. Signal Pr., 22(1), 155-171. https://doi.org/10.1016/j.ymssp.2007.05.001
  18. Mujica, L.E., Vehi, J., Staszewski, W.J. and Worden, K. (2005), "Impact damage detection in aircraft composites using knowledge-based reasoning", Proc. of the 5th Int. Workshop on Structural Health Monitoring, Stanford, California.
  19. Mujica, L.E., Vehi, J., Staszewski, W.J. and Worden, K. (2008), "Impact damage detection in aircraft composites using knowledge-based reasoning", Struct. Health Monit., Online doi:10.1177/1475921708090560.
  20. Mujica, L.E., Vehi, J., Staszewski, W.J. and Worden, K. (2006), "Multivariate statistics process control for dimensionality reduction on structural health monitoring", Proc. of the 3rd European Workshop on Structural Health Monitoring, Granada, Spain, 601-608.
  21. Nabney, I.T. (2002), Netlab: algorithms for pattern recognition, Springer.
  22. Schindler, P.M., May, R.M., Claus, R.O. and Shaw, J.K. (1995), "Location of impacts in composite panels by embedded fibre optic sensors and neural network processing", SPIE Proc. of the Smart Structures and Materials Symp, Smart Sensing, Processing and Instrumentation, 2444, 481-490.
  23. Seydel, R. and Chang, F.K. (2001), "Impact identification of stiffened composite panels: I. System development", Smart Mater. Struct., 10, 354-369. https://doi.org/10.1088/0964-1726/10/2/323
  24. Seydel, R. and Chang, F.K. (2001), "Impact identification of stiffened composite panels: II. Implementation studies", Smart Mater. Struct., 10, 354-369. https://doi.org/10.1088/0964-1726/10/2/323
  25. Seydel, R. and Chang, F.K. (1999), "Real-time impact identification of stiffened composite panels", SPIE Proc. of the Smart Structures and Materials, Newport Beach, California, 3668(1), 295-305.
  26. Sirkis, J.S., Shaw, J.K., Berkoff, T.A., Kersey, A.D., Fribele, E.J. and Jones, R.T. (1994), "Development of an impact detection technique using optical fiber sensor and neural networks", SPIE Proc. of the Smart Structures and Materials Symposium, Smart Sensing, Processing and Instrumentation, 2191, 158-165.
  27. Staszewski, W.J., Boller, C. and Tomlinson, G.R. (1999), "Impact damage detection in composite structures - recent advances", Proc. of the 2nd Int. Workshop on Structural Health Monitoring, Stanford, California, 754-763.
  28. Staszewski, W.J., Boller, C.B.C. and Tomlinson, G.R. (2002), "Impact damage detection in composite structures using passive acousto-ultrasonic sensors", Key Engineering Materials, 221-222, 389-400. https://doi.org/10.4028/www.scientific.net/KEM.221-222.389
  29. Staszewski, W.J., Worden, K., Wardle, R. and Tomlinson, G.R. (2000), "Fail-safe sensor distributions for impact detection in composite materials", Smart. Mater. Struct., 9, 298-303. https://doi.org/10.1088/0964-1726/9/3/308
  30. Sung, D.U., Oh, J.H., Kim, C.G. and Hong, C.S. (2000), "Impact monitoring of smart composite laminates using neural network and wavelet analysis", J. Intel. Mat. Syst. Str., 11, 180-190. https://doi.org/10.1106/N5E7-M37Y-3MAR-2KFH
  31. Website, http://www.ncrg.aston.ac.uk/netlab.
  32. Weems, D., Hahn, H.T., Granlund, E. and Kim, I.G. (1991), "Impact detection in composite skin panels using piezoelectric sensors", Proc. of the 47th Annual Forum of the Americal Helicopter Society.
  33. Worden, K. and Staszewski, W.J. (2000), "Impact location and quantification on a composite panel using neural networks and a Genetic Algorithm", Strain, 36(2), 61-70. https://doi.org/10.1111/j.1475-1305.2000.tb01175.x

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