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Study on Optimization Design of Pressure Hull for Underwater Vehicle

Authors: Qasim Idrees, Gao Liangtian, Liu Bo, Miao Yiran

Abstract:

In order to improve the efficiency and accuracy of the pressure hull structure, optimization of underwater vehicle based on response surface methodology, a method for optimizing the design of pressure hull structure was studied. To determine the pressure shell of five dimensions as a design variable, the application of thin shell theory and the Chinese Classification Society (CCS) specification was carried on the preliminary design. In order to optimize variables of the feasible region, different methods were studied and implemented such as Opt LHD method (to determine the design test sample points in the feasible domain space), parametric ABAQUS solution for each sample point response, and the two-order polynomial response for the surface model of the limit load of structures. Based on the ultimate load of the structure and the quality of the shell, the two-generation genetic algorithm was used to solve the response surface, and the Pareto optimal solution set was obtained. The final optimization result was 41.68% higher than that of the initial design, and the shell quality was reduced by about 27.26%. The parametric method can ensure the accuracy of the test and improve the efficiency of optimization.

Keywords: Parameterization, response surface, structure optimization, pressure hull.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316159

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References:


[1] Li Xuebin, Gan Lin, Research on Optimization of Multidisciplinary and Multi - objective in AUV Conceptual Design (J). Marine Technology, 2008.6,27(2): P77-82.
[2] Ma Lie. Design Concept of 1000m Light Duty Manned Submersible (D). Harbin: Master Thesis of Harbin Engineering University. 2002.
[3] Yang Zhuoyi, Pang Yongjie. Optimal Design of Submersible Shape Based on Multi - Objective Genetic Algorithm (J). Ship Mechanics, 2011,15(8): 874-880.
[4] Lu Pei, Liu Tao, Cui Weicheng. Study on Ultimate Strength of Pressure Spherical Hull in Deep Sea Manned Submersible (J). Ship Mechanics, 2004, 8(1): 51-58.
[5] Xie Jinxin. Optimal Design of Submersible Structure Based on Parametric Finite Element (D). Harbin Engineering University, 2010.
[6] Yang Yue. He Xuehong, Gu Haitao. Structure Optimization of Underwater Robot pressure Hull (J). Mechanical Science and Technology, 2016, 35(4):614-619.
[7] Cao Anxi, Cui Weicheng. Optimal Design of Pressure Spherical Shell for Manned Submersible Based on Response Surface Model and Genetic Algorithm (C)//. Academic Conference on Structural Mechanics of Ships. 2005.
[8] Hu Guangxing, Wang Qing. Multi - objective Optimization Design of Non Pressure Structure for Manned Submarine (J). Ship Science and Technology, 2016, 38(7): 99-104.
[9] China Classification Society, Classification and Construction Specifications of Diving System and Submersible (S). Beijing: China Communications Press.1996.
[10] Wang Xiaopeng, Pareto Genetic Algorithm in Multi - objective Optimization Design (J). Systems Engineering and Electronics. 2003, 25(12): P1558-1561.
[11] A Verroust et al. Ruie-oriented method for parameterized computeraided design (J). Computer Aided Design, l992; 24 (10): 53l~546.
[12] Ma Cufxia, Meng Xiangxu. Parametric design method based on a directed acyclic hypergraph and objeet oriented technology (J), IEEE.July2000, 2383.7 v01.4.