Hull-form optimization using parametric modification functions and particle swarm optimization

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• 作者：Hee-Jung Kim ; Jung-Eun Choi ; Ho-Hwan Chun
• 关键词：Hull ; form optimization ; Parametric modification function ; SQP ; PSO ; KCS ; KVLCC2
• 刊名：Journal of Marine Science and Technology
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：21
• 期：1
• 页码：129-144
• 全文大小：3,194 KB
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• 作者单位：Hee-Jung Kim (1)
  Jung-Eun Choi (2)
  Ho-Hwan Chun (3)
  
  1. Samsung Heavy Industries, 217, Munji-ro, Yuseong-gu, Daejeon, 305-380, Korea
  2. Global Core Research Center for Ships and Offshore Plants, Pusan National University, Busandaehak-ro, 63Beon-gil, Geumjeong-gu, Busan, 609-735, Korea
  3. Department of Naval Architecture and Ocean Engineering, Pusan National University, Busandaehak-ro, 63Beon-gil, Geumjeong-gu, Busan, 609-735, Korea
  
• 刊物类别：Engineering
• 刊物主题：Automotive and Aerospace Engineering and Traffic
  Engineering Fluid Dynamics
  Engineering Design
  Offshore Engineering
  Mechanical Engineering
  
• 出版者：Springer Japan
• ISSN：1437-8213

文摘

The focus of this paper is on devising designer-friendly hull-form variations coupled with optimization algorithms. Hull-form variations are carried out through parametric modification functions. Two kinds of representative optimization algorithms are considered here. One is the well-known sequential quadratic programming which is the derivative based. The other is particle swarm optimization which is the derivative free. The results applying these two algorithms to typical hull-form optimization problems are discussed in the paper. The technique using the parametric modification functions has been developed for modifying the ship’s geometry according to the widely recognized naval architect’s design practice. An original geometry can be easily deformed through the change of the variables of the modification functions; and useful information about the effect of the parameters is immediately obtained. Moreover, the variables of the modification functions can be considered as the design variables in the formulation of the optimization problem. For the performance prediction of the hull form, WAVIS version 1.3 is used for the potential-flow and RANS solver. Computational results for both single- and multi-objective problems are presented.