• DocumentCode
    2620717
  • Title

    Research on structure optimization method of USV based on iSIGHT

  • Author

    Sun, Hanbing ; Xu, Yuru ; Huang, Cheng

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Autonomous Underwater Vehicle, Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1626
  • Lastpage
    1629
  • Abstract
    This paper proposes a method for optimized the Unmanned Surface Vehicle (USV) structure based on a combination of iSIGHT optimization software and the parameterized model of geometry and finite element. The finite element model of the vehicle was established by using the parameterize language (ANSYS Parametric Design Language) of ANSYS based on the study of the material of the USV hull. And then the expected target function, the variables and the boundary condition were selected, the optimized value was obtained by using the multi-island genetic algorithm. Finally, analysis was conducted on the conditions of sagging and hogging of the USV, and the strength of the hull was calibrated. The results proves that it can be reduce the weight of the boat and improve its performance by using this method, under the precondition of meting the strength and the general arrangement requirements.
  • Keywords
    boats; finite element analysis; genetic algorithms; remotely operated vehicles; structural engineering computing; ANSYS parametric design language; USV hull; USV structure; finite element model; geometry; iSIGHT optimization software; multiisland genetic algorithm; structure optimization method; unmanned surface vehicle; Aircraft propulsion; Boats; Finite element methods; Optimization; Solid modeling; Vehicles; Deep-V planning boat; Finite element analysis; Parameterized model; Structure optimization formatting; Unmanned Surface Vehicle (USV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5974691
  • Filename
    5974691