Metamodel-based collaborative optimization framework

This paper focuses on the metamodel-based collaborative optimization (CO). The objective is to improve the computational efficiency of CO in order to handle multidisciplinary design optimization problems utilising high fidelity models. To address these issues, two levels of metamodel building techni...

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Bibliographic Details
Published in:Structural and multidisciplinary optimization 2009-04, Vol.38 (2), p.103-115
Main Authors: Zadeh, Parviz M., Toropov, Vassili V., Wood, Alastair S.
Format: Article
Language:English
Subjects:
Accuracy
Collaboration
Composite beams
Computational efficiency
Computational Mathematics and Numerical Analysis
Computer simulation
Computing time
Continuous fiber composites
Design optimization
Engineering
Engineering Design
Fiber composites
Least squares method
Metamodels
Multidisciplinary design optimization
Research Paper
Simulation
Theoretical and Applied Mechanics
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Summary:This paper focuses on the metamodel-based collaborative optimization (CO). The objective is to improve the computational efficiency of CO in order to handle multidisciplinary design optimization problems utilising high fidelity models. To address these issues, two levels of metamodel building techniques are proposed: metamodels in the disciplinary optimization are based on multi-fidelity modelling (the interaction of low and high fidelity models) and for the system level optimization a combination of a global metamodel based on the moving least squares method and trust region strategy is introduced. The proposed method is demonstrated on a continuous fiber-reinforced composite beam test problem. Results show that methods introduced in this paper provide an effective way of improving computational efficiency of CO based on high fidelity simulation models.
ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-008-0286-8