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Inverse Problems in Science and Engineering Volume 14, 2006 - Issue 4: Proceedings of the Inverse Problems, Design and Optimization (IPDO-2004) Symposium, Rio de Janeiro, Brazil, March 17–19 2004
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Original Articles

Inverse problem of aircraft structural parameter identification: application of genetic algorithms compared with artificial neural networks

P. M. TrivailoSchool of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, DSTO-Australia/RMIT Centre of Expertise in Aerodynamic Loading, Melbourne, Victoria, Australia
,
T. GilbertSchool of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, DSTO-Australia/RMIT Centre of Expertise in Aerodynamic Loading, Melbourne, Victoria, Australia
,
E. GlessichSchool of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, DSTO-Australia/RMIT Centre of Expertise in Aerodynamic Loading, Melbourne, Victoria, Australia
&
D. SgariotoSchool of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, DSTO-Australia/RMIT Centre of Expertise in Aerodynamic Loading, Melbourne, Victoria, Australia
Pages 337-350 | Received 10 Jan 2005, Accepted 20 May 2005, Published online: 26 Jan 2007

References

  • Dunn, SA, The use of genetic algorithms in dynamic finite element model identification for aerospace structures. Presented at presented at the 20th Congress of the International Council of the Aeronautical Sciences. Goldberg, Virginia, USA, 1996.
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  • Dunn, SA, 1997. Modified genetic algorithm for the identification of aircraft structures, Journal of Aircraft 34 (2) (1997), pp. 251–253.
  • Dunn, SA, Optimisation of the structural dynamic finite element model for a complete aircraft. Presented at presented at the 21st Congress of the International Council of the Aeronautical Sciences. Melbourne, Victoria, Australia, 13–18, September, 1998.
  • Dunn, SA, 1998. The use of genetic algorithms and stochastic hill-climbing in dynamic finite element model identification, Computers & Structures 66 (4) (1998), pp. 489–497.
  • Dunn, SA, 1999. Technique for unique optimisation of dynamic finite element models, Journal of Aircraft 36 (6) (1999), pp. 919–925.
  • Houck, C, Joines, J, and Kay, M, 1995. A Genetic Algorithm for Function Optimization: A MATLAB Implementation. North Carolina State University: North Carolina; 1995.
  • Trivailo, PM, Dulikravich, GS, Sgarioto, D, and Gilbert, T, 2004. Inverse problem of aircraft structural estimation: application of neural networks. Presented at Presented at the Inverse Problems, Design and Optimization Symposium. Rio de Janeiro, Brazil, 17–19, March, 2004.
  • Haykin, SS, 1999. Neural Networks: A Comprehensive Foundation. Prentice Hall: New Jersey; 1999.

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