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Swarm optimization of stiffeners locations in 2-D structures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper is devoted to the application of the swarm methods and the finite element method to optimization of the stiffeners location in the 2-D structures (plane stress, bending plates and shells). The structures are optimized for the stress and displacement criteria. The numerical examples demonstrate that the method based on the swarm computation is an effective technique for solving the computer aided optimal design. The additional comparisons of the effectiveness of the particle swarm optimizer (PSO) and evolutionary algorithms (EA) are presented.
Rocznik
Strony
241--246
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • Department for Strength of Materials and Computational Mechanics Silesian University of Technology 18a Konarskiego St., 44-100 Gliwice, Poland, tburczyn@pk.edu.pl
Bibliografia
  • [1] M.P. Bendsoe and N. Kikuchi, “Generating optimal topologies in structural design using a homogenization method”, Comput. Methods Appl. Mech. Eng. 71, 197–224 (1988).
  • [2] K.T. Cheng and N. Olhoff, “An investigation concerning optimal design of solid elastic plates”, Int. J. Solids Struct. 17, 305–323 (1981).
  • [3] X. Ding and K. Yamazaki, “Stiffener layout design for plate structures by growing and branching tree model (application to vibration-proof design)”, Struct. Multidisciplinary Optim. 96, 99–110 (2004).
  • [4] A.R. Diaz and N. Kikuchi, “Solution to shape and topology eigenvalue optimization problems using a homogenization method”, Int. J. Numer. Methods Eng. 35, 1487–1502 (1992).
  • [5] D. Bojczuk and W. Szteleblak, “Optimization of layout and shape of stiffeners in 2D structures”, Computers and Structures 86, 1436–1446, (2008).
  • [6] J. Sokołowski and A. Żochowski, “On topological derivative in shape optimization”, SIAM J. Control. Optim. 37 (4), 1251–72 (1999).
  • [7] E. Silverman, M. Rhodes, and M. Dyer, “Composite isogrid structures for spacecraft components”, SAMPE J. 35, 51–59 (1999).
  • [8] L. Piegel and W. Tiller, The NURBS Book, second ed., Springer, Berlin, 1995.
  • [9] O.C.Zienkiewicz and R.L.Taylor, The Finite Element Method, Butterworth Heinemann, Oxford, 2000.
  • [10] J.R. Shewchuk, “Triangle: engineering a 2d quality mesh generator and delaunay triangulator”, First Workshop on Applied Computational Geometry, Association for Computing Machinery 1, 124–133 (1996).
  • [11] Z. Michalewicz, Genetic Algorithms + Data Structures = Evolutionary Programs, Springer, Berlin, 1992.
  • [12] T. Burczyński, A. Poteralski, and M. Szczepanik, “Topological evolutionary computing in the optimal design of 2D and 3D structures”, Eng. Optimisation 39 (7), 811–830, (2007).
  • [13] T. Burczyński, W. Kuś, A. Długosz, A. Poteralski, and M. Szczepanik, “Sequential and distributed evolutionary computations in structural optimisation”, Lecture Notes on Artificial Intelligence 3070, 1069–1074 (2004).
  • [14] S.T. Wierzchoń, Artificial Immune Systems,Ttheory and Applications, EXIT, Warszawa, 2001, (in Polish).
  • [15] T. Burczyński, M. Bereta, A. Poteralski, and M. Szczepanik, “Immune computing: intelligent methodology and its applications in bioengineering and computational mechanics”, Computer Methods in Mechanics, Advanced Structured Materials 1, 165–181 (2010).
  • [16] A. Poteralski, M. Szczepanik, G. Dziatkiewicz, W. Kuś, and T. Burczyński, “Immune identification of piezoelectric material constants using BEM”, Inverse Problems in Science and Eng. 19, 103–116 (2010).
  • [17] C.W. Reynolds, “Flocks, herds, and schools, A distributed behavioral model”, Computer Graphics 21, 25–34 (1987).
  • [18] J. Kennedy and R.C. Eberhart, Swarm Intelligence, Morgamn Kauffman, San Francisco, 2001.
  • [19] R. Tanese, “Distributed Genetic Algorithms”, Proc. 3rd ICGA 1, 434–439 (1989).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG8-0078-0008
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