Synthesis and optimization of oceanographic ship design

2013 ◽  
pp. 491-500 ◽  
Author(s):  
D Oliveira ◽  
F Passos ◽  
G Karuka ◽  
T Tancredi
Keyword(s):  
Ship Design

scholarly journals System simulation as decision support tool in ship design

2021 ◽  
Vol 180 ◽  
pp. 754-763
Author(s):  
Marco Gianni ◽  
Vittorio Bucci ◽  
Alberto Marinò
Keyword(s):  
Decision Support ◽  
System Simulation ◽  
Decision Support Tool ◽  
Ship Design ◽  
Support Tool

Support Vector Regression-Based Multidisciplinary Design Optimization for Ship Design

2012 ◽  
Author(s):  
Dongqin Li ◽  
Yifeng Guan ◽  
Qingfeng Wang ◽  
Zhitong Chen
Keyword(s):  
Design Optimization ◽  
Support Vector Regression ◽  
Design Process ◽  
Multidisciplinary Design Optimization ◽  
Initial Point ◽  
Ship Design ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Support Vector ◽  
Independent Design

The design of ship is related to several disciplines such as hydrostatic, resistance, propulsion and economic. The traditional design process of ship only involves independent design optimization within each discipline. With such an approach, there is no guarantee to achieve the optimum design. And at the same time improving the efficiency of ship optimization is also crucial for modem ship design. In this paper, an introduction of both the traditional ship design process and the fundamentals of Multidisciplinary Design Optimization (MDO) theory are presented and a comparison between the two methods is carried out. As one of the most frequently applied MDO methods, Collaborative Optimization (CO) promotes autonomy of disciplines while providing a coordinating mechanism guaranteeing progress toward an optimum and maintaining interdisciplinary compatibility. However there are some difficulties in applying the conventional CO method, such as difficulties in choosing an initial point and tremendous computational requirements. For the purpose of overcoming these problems, Design Of Experiment (DOE) and a new support vector regression algorithm are applied to CO to construct statistical approximation model in this paper. The support vector regression algorithm approximates the optimization model and is updated during the optimization process to improve accuracy. It is shown by examples that the computing efficiency and robustness of this CO method are higher than with the conventional CO method. Then this new Collaborative Optimization (CO) method using approximate technology is discussed in detail and applied in ship design which considers hydrostatic, propulsion, weight and volume, performance and cost. It indicates that CO method combined with approximate technology can effectively solve complex engineering design optimization problem. Finally, some suggestions on the future improvements are proposed.

Dutch Ship Design in the Fifteenth and Sixteenth Centuries

Viator ◽  
1973 ◽  
Vol 4 ◽  
pp. 387-412
Author(s):  
Richard W. Unger
Keyword(s):  
Ship Design

Data enhancement for sharing of ship design models

1998 ◽  
Vol 30 (12) ◽  
pp. 931-941 ◽  
Author(s):  
Yongjae Shin ◽  
Soon-Hung Han
Keyword(s):  
Ship Design ◽  
Design Models
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