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Tytuł artykułu

Shape optimization of mechanical structure by an adjoint variables method and genetic algorithm

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
The shape optimization of machine elements or structures consists in searching the optimal form satisfying the imposed mechanical, technological and geometrical criteria. In this paper two methods, developed for shape optimization of uni and bidimensional mechanical structures are offered. The first one, known as the adjoint variables method, is based upon the evaluation of the sensitivity or the derivatives of the functional with respect to the evolution of the structure shape. It requires the use of a mathematical optimization code in order to converge towards the solution. The second method deals with Genetic Algorithms whose principle rises from the evolution of individuals living in nature. Within the framework of structures optimization, a new Genetic Algorithm has been developed. The analysis is carried out by the finite element method. The first part of this article is devoted to optimal shape research of unidimensional structures such as beams while the second treats the shape optimization of bidimensional parts. To show the effectiveness of each of the two methods, examples are presented, and the numerical results obtained show that a good convergence was obtained in each case.
Rocznik
Strony
45--78
Opis fizyczny
Bibliogr. 23 poz., rys., wykr.
Twórcy
autor
  • Laboratoire de Génie Mécanique et C. A. O.ENSAM, 2, Boulevard du Ronceray, B.P. 3525, 49035 Angers Cedex, France
autor
  • Laboratoire de Génie Mécanique et C. A. O.ENSAM, 2, Boulevard du Ronceray, B.P. 3525, 49035 Angers Cedex, France
Bibliografia
  • [1] V. Anand. Computer Graphics and Geometric Modeling for Engineers. John Wiley and Sons, 1993.
  • [2] H. Azegami. A proposal of a shape-optimization method using a constitutive equation of growth (in the case of a static elastic body). JSME International Journal Series I, 33(1): 64-71, 1991.
  • [3] A.E. Baumal, J.J. Mcphee, P.H. Calamai. Genetic Algorithm Optimization for active vehicule suspension design, pp. 455-464. The Canadian Society for Mechanical Engineering CSME, Canada, 1996.
  • [4] V. Braibant. Optimisation de Forme des Structures en vue de la Conception Assist& par Ordinateur. Ph.D. thesis, 1986.
  • [5] V. Braibant, C. Fleury. Shape Optimal Design using B-spline. Computer Methods in Applied Mechanics and Engineering, 44: 247-267, 1984.
  • [6] Cadsap, Algor, Inc., 150 Beta Drive Pittsburgh. PA 15238-2932 USA. Distributed by Cadlm, 9, rue Raoul Dautry, 91190 Gif sur Yvette, France.
  • [7] C. Caux, H. Pierreval, M.C. Portmann. Les algorithmes On6tiques et leur application aux probl6mes d'ordonnancement. RAIRO AP II, 1-33, 1994.
  • [8] J.L. Chen, W.C. Tsai. Shape optimization by using simulated biological growth approaches. AIAA Journal, 31(11): 2143-2147, 1993.
  • [9] K.K. Choi, J.L.T. Santos, M.C. Frederick. Implementation of design sensitivity analysis with finite element codes. J. of Mechanisms Transmissions and Automation in Design, 109: 385-391, 1987.
  • [10] K.K. Choi, E.J. Haug. Shape design sensitivity analysis of elastic structures. Journal of Structural Mechanics, 11(2): 231-269, 1983.
  • [11] D.E. Goldberg, M. Asce, M.P. Samtani. Engineering optimization via genetic algorithm. Procceeding Ninth Conference on Electronic Computation, 471-482. ASCE, New York, 1986.
  • [12] J. Haug, K. Choi, V. Komkov. Design Sensitivity of Structural Systems, Mathematics in science and engineering, v. 177. Academic Press, New York, 1986.
  • [13] R. Le Riche, C. Knopf-Lenoir, R. Haftka. Optimisation de Structures Composites par Algorithmes Génétiques. Colloque PRIMECA sur la conception optimale, 4 juillet, 31-37, 1995.
  • [14] J.-L. Marcelin, A. Kallassy. Vers une optimisation intégré des structures ou des systémes mócaniques. Revue de CFAO et d'information graphique, 11: 289-306, 1996.
  • [15] Z. Michalewicz. Genetic Algorithm + Data Structure = Evolution Programs. Springer-Verlag, 1992.
  • [16] J.-M. Renders. Algorithrnes génétiques et réseaux de neurones. Hermes, 1995.
  • [17] S. Saigal, S. Mukherjee. Sensitivity analysis and optimization with numerical methods. The American Society of Mechanical Engineers, AMD-Vol. 115, USA, 1990.
  • [18] E. Sandgren, E. Jensen, J.W. Welton. Topological design of structural components using genetic optimization methods. In: S. Saigal, S. Mukherjee (eds.), Sensitivity Analysis and Optimization with Numerical Methods. The American Society of Mechanical Engineers, AMD-Vol. 115, 31-43, USA, 1990.
  • [19] J. Sokolowski, J.P. Zolezio. Introduction to Shape Optimization. Springer-Verlag, 1992.
  • [20] P. Trompette, C. Fleury, C. Knopf-Lenoir. Optimisation des structures. Approche de l'ingénieur IPSI, Paris 9-11 septembre, 1987.
  • [21] G.N. Vanderplaats. Numerical optimization techniques for engineering design with applications. Mc Graw—Hill, 1984.
  • [22] G.N. Vanderplaats. ADS - A Fortran Program for Automated Design Synthesis. Version 3.1. Engineering Design Optimization, INC., 1987.
  • [23] M. Younes. Shape Optimization of Bidimensional Parts by means of Adjoint Variables Methods and Genetic Algorithms (in French). Ph.D. thesis, Ecole Centrale de Nantes-France, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0006-0031
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