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Approximate Optimization Using Moving Least Squares Response Surface Methods: Application to FPSO Riser Support Design  

Song, Chang-Yong (School of Mechanical Engineering, Yonsei University)
Lee, Jong-Soo (School of Mechanical Engineering, Yonsei University)
Choung, Joon-Mo (School of Mechanical Engineering, Inha University)
Publication Information
Journal of Ocean Engineering and Technology / v.24, no.1, 2010 , pp. 20-33 More about this Journal
Abstract
The paper deals with strength design of a riser support installed on floating production storage and offloading (FPSO) vessel under various loading conditions - operation, extreme, damaged, one line failure case (OLFC) and installation. The design problem is formulated such that thickness sizing variables are determined by minimizing the weight of a riser support structure subject to stresses constraints. The initial design model is generated based on an actual FPSO riser support specification. The finite element analysis (FEA) is conducted using MSC/NASTRAN, and optimal solutions are obtained via moving least squares method (MLSM) in the context of response surface based approximate optimization. For the meta-modeling of inequality constraint functions of stresses, a constraint-feasible moving least squares method (CF-MLSM) is used in the present study. The method of CF-MLSM, compared to a conventional MLSM, has been shown to ensure the constraint feasibility in a case where the approximate optimization process is employed. The optimization results present improved design performances under various riser operating conditions.
Keywords
Strength design; Riser support; Floating production storage and offloading (FPSO); Approximate optimization; Moving least squares method (MLSM); Constraint-feasible moving least squares method (CF-MLSM);
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Times Cited By KSCI : 3  (Citation Analysis)
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