Multidisciplinary Design Optimisation of a Ship Hull Using Metamodels

Abstract In this paper, the metamodelling approach is applied to the multidisciplinary design optimisation of a ship hull with regard to resistance, seakeeping and maneuvering performance. The hull shape is described by a set of design variables used in the simulations. At the top system level, a simple cost metric is defined to drive the overall design optimisation process. Changes to the hull shape are reflected in the numerical model for resistance computations and in the seakeeping and maneuvering assessment. An automated process has been developed for propagating changes to the hull form in the numerical model used for the resistance computations; this expedites the computations at the sample points used for developing the metamodels. The validity of employing metamodels instead of the actual analysis methods during the optimisation is demonstrated by comparing the values of the objective functions and constraints at the optimum point when using the actual analysis methods and the metamodels. The effectiveness of the multidisciplinary design optimisation algorithm is demonstrated using a simple analytical example.

[1]  Jaroslaw Sobieszczanski-Sobieski,et al.  Multidisciplinary aerospace design optimization - Survey of recent developments , 1996 .

[2]  Timothy W. Simpson,et al.  Metamodels for Computer-based Engineering Design: Survey and recommendations , 2001, Engineering with Computers.

[3]  Liang Gao,et al.  An approach combined Response Surface Method and Particle Swarm Optimization to ship multidisciplinary design and optimization , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[4]  Eric Besnard,et al.  Constructive Neural Networks and Their Application to Ship Multidisciplinary Design Optimization , 2007 .

[5]  E. Campana,et al.  Shape optimization in ship hydrodynamics using computational fluid dynamics , 2006 .

[6]  Jacobus E. Rooda,et al.  A classification of methods for distributed system optimization based on formulation structure , 2009 .

[7]  Régis Duvigneau,et al.  Hydrodynamic design using a derivative-free method , 2004 .

[8]  Timothy M. Mauery,et al.  COMPARISON OF RESPONSE SURFACE AND KRIGING MODELS FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION , 1998 .

[9]  Natalia Alexandrov,et al.  Editorial—Multidisciplinary Design Optimization , 2005 .

[10]  Timothy W. Simpson,et al.  Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not , 2008 .

[11]  Daniele Peri,et al.  Multidisciplinary design optimization of a naval surface combatant , 2003 .

[12]  Russell R. Barton,et al.  A review on design, modeling and applications of computer experiments , 2006 .

[13]  Michael James Sasena,et al.  Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations. , 2002 .

[14]  G. Gary Wang,et al.  Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007 .

[15]  Sonja Kuhnt,et al.  Design and analysis of computer experiments , 2010 .

[16]  Dong Zhao,et al.  A comparative study of metamodeling methods considering sample quality merits , 2010 .

[17]  Andy J. Keane,et al.  Recent advances in surrogate-based optimization , 2009 .

[18]  Martin Spieck,et al.  State-of-the-Art and Future Trends in Multidisciplinary Design Optimization , 2007 .

[19]  Gregory J. Grigoropoulos,et al.  Hull-form optimization in calm and rough water , 2010, Comput. Aided Des..

[20]  Thomas J. Santner,et al.  The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.

[21]  T Haftka Raphael,et al.  Multidisciplinary aerospace design optimization: survey of recent developments , 1996 .

[22]  Alfred I. Raff.  PROGRAM SCORES--SHIP STRUCTURAL RESPONSE IN WAVES , 1974 .

[23]  Michael G. Parsons,et al.  Michigan Conceptual Ship Design Software Environment - User's Manuals , 1998 .

[24]  Francis Noblesse,et al.  Hydrodynamic optimization of ship hull forms , 2001 .

[25]  Jack P. C. Kleijnen,et al.  Kriging Metamodeling in Simulation: A Review , 2007, Eur. J. Oper. Res..

[26]  Natalia Alexandrov,et al.  Multidisciplinary design optimization : state of the art , 1997 .

[27]  D. Clarke,et al.  The Application of Manoeuvring Criteria in Hull Design Using Linear Theory , 1982 .

[28]  T. Simpson,et al.  Use of Kriging Models to Approximate Deterministic Computer Models , 2005 .

[29]  Ebru Sarıöz.  Inverse design of ship hull forms for seakeeping , 2009 .

[30]  G. Gary Wang,et al.  Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007, DAC 2006.