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Evolutionary multi-objective optimization of hybrid laminates

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the paper is to prepare an efficient method of the optimization of the hybrid fibre-reinforced laminates. Since the several optimization criteria which cannot be satisfied simultaneously are proposed, the multi-objective optimization methods have been employed. Different optimization criteria connected with the laminates' cost, the modal properties and the stiffness are considered. The multi-objective evolutionary algorithm which uses the Pareto approach has been used as the optimization method. To solve the boundary-value problem the finite element method commercial software has been employed. Numerical examples presenting the effectiveness of the proposed method are attached.
Rocznik
Strony
569--578
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
autor
  • Silesian University of Technology, Department for Strength of Materials and Computational Mechanics, Konarskiego 18A, 44-100 Gliwice
Bibliografia
  • [1] S. Adali, A. Richte, V.E. Verijenko, E.B. Summers. Optimal design of symmetric hybrid laminates with discrete ply angles for maximum buckling load and minimum cost. Composite Structures, 32: 409-415, 1995.
  • [2] S. Adali, V.E. Verijenko. Optimum stacking sequence design of symmetric hybrid laminates undergoing freevibrations. Composite Structures, 54: 131-138, 2001.
  • [3] J.F. Aguilar Madeiraa, H. Rodriguesa, H. Pinaa. Multi-objective optimization of structures topology by genetic algorithms. Advances in Engineering Software, 36: 21-28, 2005.
  • [4] J. Arabas. Lectures on Evolutionary Algorithms (in Polish). Wydawnictwa Naukowo-Techniczne, 2001.
  • [5] W. Beluch. Evolutionary identification and optimization of composite structures. In: 77/ European Conference on Computational Mechanics, ECCM 2006, Lisbon, CD-ROM, 2006.
  • [6] W. Beluch, T. Burczynski. Evolutionary optimization of hybrid laminates. Recent Developments in Artificial Intelligence Methods, AI-METH series, 21-24, 2005.
  • [7] W. Beluch, T. Burczynski, W. Kus. Distributed evolutionary algorithms in identification of material constants in composites. In: Proceedings of the VIII Polish Conference Evolutionary Algorithms and Global Optimization, KAEiOG 2004, Kazimierz, 1-8, 2004.
  • [8] T. Burczyński. The Boundary Element Method in Mechanics (in Polish). Wydawnictwa Naukowo-Techniczne, 1995.
  • [9] T. Burczyński, W. Kus. Distributed and parallel evolutionary algorithms in optimization of nonlinear structures. In: Proceedings of the 15th International Conference on Computer Methods in Mechanics CMM-2003, 2003.
  • [10] CM. Fonseca, P.J. Fleming. An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation, 3(1): 1-16, 1995.
  • [11] J. German. The Basics of the Fibre-Reinforcement Composites' Mechanics (in Polish). Cracow University of Technology Pub., 2001.
  • [12] T. Marler. A Study of Multi-Objective Optimization Methods for Engineering Applications. Ph.D. thesis, University of Iowa.
  • [13] MSC/Nastran User's Guide. MSC Software, 2000.
  • [14] A. Pegoretti, E. Fabbri, C. Migliaresi, F. Pilati. Intraply and interply hybrid composites based on e-glass and poly(vinyl alcohol) woven fabrics: tensile and impact properties. Polymer International, 53: 1290-1297, 2004.
  • [15] R. Spallino, S. Rizzo. Multi-objective discrete optimization of laminated structures. Mechanics Research Communications, 29: 17-25, 2002.
  • [16] S.W. Tsai, H.T. Hahn. Introduction to Composite Materials. Wesport Technomic Pub. Co., 1980.
  • [17] T. Uhl. Computer-aided Identification of Constructional Models (in Polish). Wydawnictwa Naukowo-Techniczne, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0031-0004
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