• DocumentCode
    2809493
  • Title

    FVM-based multi-objective topology optimization and Matlab implementation

  • Author

    Liang, Liang ; Zhang, Jie ; Chen, Li-Ping ; Zhang, Xiao-Hong

  • Author_Institution
    Center for Comput.-Aided Design, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper presents a dapper Matlab implementation of solving multi-objective topology optimization of diffusion problems using the finite volume method. Except for the common objective, some constraints like center of gravity and the manufacturing demands, which are rarely discussed before, are included in this paper. Although specific attention is given to the heat conduction and its applications in this paper, the approach presented can be easily extended to solving other associated diffusion problems. We discussed the basic mathematical model of topology optimization, finite volume analysis, sensitivity derivation, the mathematical programming and some crucial aspects of the Matlab implementation. Some interesting testing examples are provided comparing with those done by the classical FEM-based approach. The complete Matlab code is given in the Appendix and intended for educational purposes.
  • Keywords
    computational fluid dynamics; finite element analysis; finite volume methods; mathematical programming; mathematics computing; topology; FEM-based approach; FVM; Matlab code; center of gravity; dapper Matlab implementation; finite volume analysis; finite volume method; heat conduction; mathematical programming; multiobjective topology optimization; sensitivity derivation; Computational modeling; Optimization; Matlab; computational fluid dynamics (CFD); finite volume method (FVM); sensitivity analysis; topology optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619042
  • Filename
    5619042