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

doi:10.1007/s12204-014-1491-9

上海交通大学学报（英文版） ›› 2014, Vol. 19 ›› Issue (2): 205-218.doi: 10.1007/s12204-014-1491-9

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

CUI Jin-ju¹ (崔进举), WANG De-yu¹* (王德禹), VLAHOPOULOS Nickolas²

(1. State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan 48105, USA)

出版日期:2014-04-30 发布日期:2014-04-29
通讯作者: WANG De-yu (王德禹) E-mail: dywang@sjtu.edu.cn

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

CUI Jin-ju¹ (崔进举), WANG De-yu¹* (王德禹), VLAHOPOULOS Nickolas²

(1. State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan 48105, USA)

Online:2014-04-30 Published:2014-04-29
Contact: WANG De-yu (王德禹) E-mail: dywang@sjtu.edu.cn

摘要/Abstract

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)

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)

中图分类号:

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]. 上海交通大学学报（英文版）, 2014, 19(2): 205-218.

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.

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

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

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