Containership Structural Design and Optimization Based on Knowledge-Based Engineering and Gaussian Process

doi:10.1007/s12204-014-1491-9

Abstract

Abstract: Knowledge-based engineering (KBE) has made success in automobile and molding design industry, and it is introduced into the ship structural design in this paper. From the implementation of KBE, the deterministic design solutions for both rules design method (RDM) and interpolation design method (IDM) are generated. The corresponding finite element model is generated. Gaussian process (GP) is then employed to build the surrogate model for finite element analysis, in order to increase efficiency and maintain accuracy at the same time, and the multi-modal adaptive importance sampling method is adopted to calculate the corresponding structural reliability. An example is given to validate the proposed method. Finally, the reliabilities of the structures’ strength caused by uncertainty lying in water corrosion, static and wave moments are calculated, and the ship structures are optimized to resist the water corrosion by multi-island genetic algorithm. Deterministic design results from the RDM and IDM are compared with each separate robust design result. The proposed method shows great efficiency and accuracy.

Key words: knowledge-based engineering (KBE)| Gaussian process (GP)| robust optimization| rules design method (RDM)| interpolation design method (IDM)

摘要： Knowledge-based engineering (KBE) has made success in automobile and molding design industry, and it is introduced into the ship structural design in this paper. From the implementation of KBE, the deterministic design solutions for both rules design method (RDM) and interpolation design method (IDM) are generated. The corresponding finite element model is generated. Gaussian process (GP) is then employed to build the surrogate model for finite element analysis, in order to increase efficiency and maintain accuracy at the same time, and the multi-modal adaptive importance sampling method is adopted to calculate the corresponding structural reliability. An example is given to validate the proposed method. Finally, the reliabilities of the structures’ strength caused by uncertainty lying in water corrosion, static and wave moments are calculated, and the ship structures are optimized to resist the water corrosion by multi-island genetic algorithm. Deterministic design results from the RDM and IDM are compared with each separate robust design result. The proposed method shows great efficiency and accuracy.

关键词: knowledge-based engineering (KBE)| Gaussian process (GP)| robust optimization| rules design method (RDM)| interpolation design method (IDM)

CLC Number:

U 674

CUI Jin-ju (崔进举), WANG De-yu* (王德禹), VLAHOPOULOS Nickolas. Containership Structural Design and Optimization Based on Knowledge-Based Engineering and Gaussian Process[J]. Journal of shanghai Jiaotong University (Science), 2014, 19(2): 205-218.

References

[1] Kim T W, Storch R L, Hopman H, et al. Editorial:Applications in ship and floating structure design and analysis [J]. Computer Aided Design, 2012, 44(3): 163-165.
[2] Sharma R, Kim T W, Storch R L, et al. Challenges in computer applications for ship and floating structure design and analysis [J]. Computer Aided Design, 2012,44(3): 166-185.
[3] Zhao Zhen. Research on KBE technologies for intelligent blanking process planning facing theory and system of innovative design [D]. Shanghai: School of Materials Science and Engineering, Shanghai Jiaotong University, 2002 (in Chinese).
[4] Kulon J, Mynors D J, Broomhead P. A knowledge-based engineering design tool for metal forging [J]. Journal of Materials Processing Technology,2006, 177(1-3): 331-335.
[5] Chapman C B, Pinfold M. The application of a knowledge based engineering approach to the rapid design and analysis of an automotive structure [J].Advances in Engineering Software, 2001, 32(12): 903-912.
[6] Chen Jin-feng, Yang He-zhen, Jiang Ru-hong, et al. Application of knowledge-based engineering methods for hull structure member design [J]. Ship Science and Technology, 2010, 32(10): 16-20 (in Chinese).
[7] Lee D. Knowledge-based system for safety control of damaged ship [J]. Knowledge Based Systems, 2006,19(3): 187-191.
[8] Cai Qian-ya, Qiu Yong-ming, Lu Wei-dong. Knowledge based CAD system for containership midship section structural design [J]. Journal of Shanghai Jiaotong University, 1997, 31(11): 61-64 (in Chinese).
[9] Alkan A D, G¨ulez K. A knowledge-based computational design tool for determining preliminary stability particulars of naval ships [J]. Naval Engineers Journal,2004, 116(4): 37-51.
[10] Wu Y H, Shaw H J. Document based knowledge base engineering method for ship basic design [J]. Ocean Engineering, 2011, 38(13): 1508-1521.
[11] Choi S K, Grandhi R V, Canfield R A. Reliabilitybased structural design [M]. Berlin: Springer-Verlag,2007.
[12] Bichon B J, Eldred M S, Swiler L P, et al.Efficient global reliability analysis for nonlinear implicit performance functions [J]. AIAA Journal, 2008,46(10): 2459-2468.
[13] Sacks J, Schiller S B, Welch W J. Designs for computer experiments [J]. Technometrics, 1989, 31(1):41-47.
[14] Helvacioglu S, Insel M. An expert system approach to container ship layout design [J]. International Shipbuilding Progress, 2003, 50(1): 19-34.
[15] Peng Ying-hong, Hu Jie. KBE technique and its application in production design [M]. Shanghai: Shanghai Jiaotong University Press, 2007 (in Chinese).
[16] Zhou X H, Qiu Y, Hua G, et al. A feasible approach to the integration of CAD and CAPP [J]. Computer Aided Design, 2007, 39(4): 324-338.
[17] Sharma R, Kim T W. Development of a logic-based product life-cycle management (LBPLM) system for shipbuilding industry: Conceptual development [J].Journal of Ship Production and Design, 2010, 26(4):231-251.
[18] Roh M H, Lee K Y. Generation of the 3D CAD model of the hull structure at the initial ship design stage and its application [J]. Computers in Industry, 2007, 58(6):539-557.
[19] China Classification Society. Rules and regulations for the construction and classification of sea-going steel ships [M]. Beijing: China Communications Press, 2009(in Chinese).
[20] Zou T, Mahadevan S, Mourelatos Z, et al. Reliability analysis of automotive body-door subsystem [J]. Reliability Engineering and System Safety, 2002,78(3): 315-324.
[21] Cui Jin-ju, Wang De-yu, Xia Li-juan, et al. Mid-ship section structural design and optimization based on knowledge based engineering [J]. Journal of Shanghai Jiaotong University, 2012, 46(3): 368-373 (in Chinese).
[22] Cui J J, Wang D Y. Application of knowledge-based engineering in ship structural design and optimization[J]. Ocean Engineering, 2013, 72: 124-139.
[23] Sharma R, Kim T W, Storch R L, et al. Challenges in computer applications for ship and floating structure design and analysis [J]. Computer Aided Design, 2012,44(3): 166-185.