Hull form design exploration based on response surface method

Hyunyul Kim, Shinkyu Jeong, Chi Yang, Francis Noblesse

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)

Abstract

In this study, a CFD-based ship hydrodynamic optimization tool has been further developed by integrating the response surface method into the optimization module. Specifically, one of the response surface models, Kriging model, is employed to represent the relationship between the objective functions (output) and design variables (input) using stochastic process in the CFD-based hydrodynamic optimization of hull forms. To extract design knowledge for a hull form configuration, a data mining technique is applied. Functional analysis of variance (ANOVA), which can show the interaction between each design variable and objective functions, is utilized. Based on the information from ANOVA, the influence of design variables on the objective functions can be easily analyzed. For the purpose of illustration, the present hydrodynamics optimization tool has been used in a hull form optimization application, where the Series-60 hull form is taken as an initial hull form and the hull form is optimized by minimizing the wave drag at a given speed range. Numerical results show that the present response surface method can greatly reduce the computational cost associated with the CFD runs.

Original languageEnglish
Title of host publicationProceedings of the 21st (2011) International Offshore and Polar Engineering Conference, ISOPE-2011
Pages816-825
Number of pages10
Publication statusPublished - 2011 Sep 19
Event21st International Offshore and Polar Engineering Conference, ISOPE-2011 - Maui, HI, United States
Duration: 2011 Jun 192011 Jun 24

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other21st International Offshore and Polar Engineering Conference, ISOPE-2011
CountryUnited States
CityMaui, HI
Period11/6/1911/6/24

Keywords

  • ANOVA
  • Kriging model
  • Radial basis function
  • Response surface method

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

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