Maio 2014 vol. 1 num. 1 - 10th World Congress on Computational Mechanics

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A HYBRID TWO-LEVEL APPROACH USED IN THE OPTIMIZATIONA OF AN AERONAUTICAL COMPOSITE STRUCTURE

Chiwiacowsky, L. D. ; Gasbarri, P. ; Gómez, A. T. ; Velho, H. F. Campos ; Monti, R. ;

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Nowadays composite materials are becoming increasingly popular, due to their ability to improve the structural performance and also to be tailored to meet specific design requirements for a given application. In the case of a wing composite structure, this is composed of a large number of panels, which have to be designed simultaneously to obtain an optimum structural design. In general, the wing-box design process is a multidisciplinary one, involving couplings and interactions between several disciplines such as aerodynamics, structural analysis, dynamics, and aeroelasticity. Therefore, the development of multidisciplinary design optimization (MDO) techniques, in which different disciplines and design parameters are coupled into a closed loop numerical procedure, seems appropriate to face such a complex optimization problem, such as a multilevel approach. The aeroelastic optimization here presented is relevant to the determination of the orientation of different layers which constitute the composite panels of a wing structure, that realizes the maximum flutter speed. By using a multilevel approach, the aeroelastic optimization problem can be decomposed into one subproblem, affecting the global response of the wing, and several independent subproblems, affecting portions of the wing. In the first level, the anisotropy parameters will be defined by a real coded Genetic Algorithm (GA), while at the second level of the optimization process, the ply orientation for the laminate composite plates will be defined by another Genetic Algorithm, with an integer encoding. For each one of the GAs, a local search procedure heuristic is applied to improve the best solution found by the GA. The hybrid strategy is shown to be efficient in maximizing the value of flutter velocity.

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Palavras-chave: Structural optimization, Multilevel optimization, Composite structures, Genetic algorithm, Local Search.,

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DOI: 10.5151/meceng-wccm2012-19159

Referências bibliográficas
  • [1] Ashton J., Halpin J., Petit P., “Primer on CompositeMaterials Analysis”. Westport: Technomic, Boston, 1969.
  • [2] Bisplinghoff R., Ashley H., Halfman R., “Aeroelasticity”. Dover Publication, Inc., New York, 1996.
  • [3] Chiwiacowsky L., Campos Velho H., “Different approaches for the solution of a backward heat conduction problem”. Inverse Problems in Engineering, 11(6), 471-494, 200
  • [4] Gasbarri P., Betti F., Persiani F., Saggiani G., “Static aeroelastic control of an adaptive wing”. Proceedings of the 19th Congress of the International Council of the Aeronautical Sciences, 589-603, 199
  • [5] Gasbarri P., Chiwiacowsky L. D., Campos Velho H. F., “A hybrid multilevel approach for aeroelastic optimization of composite wing-box”. Structural and Multidisciplinary Optimization, 39, 607-624, 2009.
  • [6] Goldberg D., “Genetic algorithms in search, optimization, and machine learning”. Addison-Wesley Publishing Company Inc., New York, 1989.
  • [7] Gurdal Z., Haftka R., Hajela P., “Design and Optimization of Laminated Composite Materials”. John Wiley Andamp; Sons, New York, 1999.
  • [8] Hooke R., Jeeves T.A., “ “Direct Search” Solution of Numerical and Statistical Problems”. Journal of the Association for Computing Machinery (ACM), 8(2), 212-229, 1961.
  • [9] Kelley C. T., “Iterative Methods for Optimization, volume 18 of Frontiers in Applied Mathematics”. SIAM, Philadelphia, PA, USA, 199
  • [10] Michalewicz Z., “Genetic algorithms + data structures = evolution programs”. Springer- Verlag, Berlin, 1996.
  • [11] Mitchell M., “An introduction to genetic algorithms”. The MIT Press, Cambridge, Massachusetts, 1996.
  • [12] Santini P., Gasbarri P.,. “Lifting surface in subsonic unsteady regime. Meccanica”, International Journal of the Italian Association of Theoretical and Applied Mechanics, 34(1), 1-27, 1999.
  • [13] Santini P., Gasbarri P., “Structural dynamics of a cantilever wing-like anisotropic swept plate wings”. Journal of Reinforced Plastic and Composite, 19(14), 1112-1146, 2000.
  • [14] Sobieszczanski-Sobieski J., “Two alternative ways for solving the coordination problem in multilevel optimization”. Structural and Multidisciplinary Optimization, 6(4), 205- 215, 1993.
  • [15] Sobieszczanski-Sobieski J., James B., Dovi A., “Structural optimization by multilevel decomposition”. AIAA Journal, 23(11), 1775-1782, 1985.
  • [16] Talbi E.G., “Metaheuristics: from design to implementation”. Wiley, New Jersey, 2009.
  • [17] Walsh J., Young K., Pritchard J., Adelman H., Mantay W., “Integrated aerodynamic/ dynamic/structural optimization of helicopter rotor blades using multilevel decomposition”. Technical report, NASA TP-3465, 1995.
  • [18] Wrenn G., Dovi A., “Multilevel decomposition approach to the preliminary sizing of a transport aircraft wing”. AIAA Journal of Aircraft, 25(7), 632-638, 1988.
  • [19] Zapfel G., Braune R., Bogl M., “Metaheuristic Search Concepts: A tutorial with applications to production and logistics”. Springer, 2010
Como citar:

Chiwiacowsky, L. D.; Gasbarri, P.; Gómez, A. T.; Velho, H. F. Campos; Monti, R.; "A HYBRID TWO-LEVEL APPROACH USED IN THE OPTIMIZATIONA OF AN AERONAUTICAL COMPOSITE STRUCTURE", p. 3064-3079 . In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 2358-0828, DOI 10.5151/meceng-wccm2012-19159

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