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
Link To Document :
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