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Reliability-based design optimization of an FPSO riser support using moving least squares response surface meta-models.pdf

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Reliability-based design optimization of an FPSO riser support using moving least squares response surface meta-models.pdf

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Reliability-based design optimization of an FPSO riser support using moving least squares response surface meta-models.pdf

文档介绍

文档介绍:Ocean Engineering 38 (2011) 304–318
Contents lists available at ScienceDirect
Ocean Engineering
journal homepage: ate/oceaneng
Reliability-based design optimization of an FPSO riser support using moving
least squares response surface meta-models
Chang Yong Song a, Jongsoo Lee b,n, Joon Mo Choung c
a Department of Ocean Engineering, Mokpo National University, Jeonnam 534-729, Republic of Korea
b School of Mechanical Engineering, Yonsei University, Seoul 120-749, Republic of Korea
c Department of Naval Architecture and Ocean Engineering, Inha University, Incheon 402-751, Republic of Korea
article info abstract
Article history: The paper deals with the reliability-based design optimization (RBDO) of a riser support installed on a
Received 5 October 2009 floating production storage and offloading (FPSO) unit under operation, extreme, damaged, and one line
Accepted 8 November 2010 failure cases and installation loading conditions. The optimization problem is formulated such that
Editor-in-Chief: . Incecik probabilistic thickness variables described with random characteristics are determined by minimizing
Available online 26 November 2010
the weight of the riser support structure subjected to stress constraints for the given target reliability. The
Keywords: initial design model is generated based on actual FPSO riser support specifications. The finite element
Riser support analysis is conducted using NASTRAN, and the probabilistic optimal solutions are obtained via the moving
Floating production storage and offloading least squares method in the context of RBDO using a response surface meta-model. For the meta-
(FPSO)
modeling of the inequality constraint functions of stresses, a constraint-feasible moving least squares
Reliability-based design optimization
method (CF-MLSM) is adopted in the present study. The CF-MLSM has been shown to ensure constraint
Moving least squares method
Constraint-feasible moving least squares feasibility regardles