An efficient strategy for reliability-based multidisciplinary design optimization using BLISS

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This paper presents an efficient reliability-based multidisciplinary design optimization (RBMDO) strategy. The conventional RBMDO has tri-level loops: the first level is an optimization in the deterministic space, the second one is a reliability analysis in the probabilistic space, and the third one is the multidisciplinary analysis. Since it is computationally inefficient when high-fidelity simulation methods are involved, an efficient strategy is proposed. The strategy [named probabilistic bi-level integrated system synthesis (ProBLISS)] utilizes a single-level reliability-based design optimization (RBDO) approach, in which the reliability analysis and optimization are conducted in a sequential manner by approximating limit state functions. The single-level RBDO is associated with the BLISS formulation to solve RBMDO problems. Since both the single-level RBDO and BLISS are mainly driven by approximate models, the accuracy of models can be a critical issue for convergence. The convergence of the strategy is guaranteed by employing the trust region-sequential quadratic programming framework, which validates approximation models in the trust region radius. Two multidisciplinary problems are tested to verify the strategy. ProBLISS significantly reduces the computational cost and shows stable convergence while maintaining accuracy.
Publisher
SPRINGER
Issue Date
2006-05
Language
English
Article Type
Article
Keywords

ROBUST DESIGN; UNCERTAINTY; SYSTEMS

Citation

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.31, no.5, pp.363 - 372

ISSN
1615-147X
DOI
10.1007/s00158-005-0565-6
URI
http://hdl.handle.net/10203/4901
Appears in Collection
AE-Journal Papers(저널논문)
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