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- W2100677752 abstract "At early design phases, taking into account uncertainty in the optimization of a multidis- ciplinary system is essential to establish its optimal characteristics and performances. Uncer- tainty Multidisciplinary Design Optimization (UMDO) methods aim at eciently organizing not only the dierent disciplinary analyses, the uncertainty propagation, the optimization, but also the handling of interdisciplinary couplings under uncertainty. A new decoupled UMDO formulation (named Individual Discipline Feasible - Polynomial Chaos Expansion) ensuring the coupling satisfaction for all the instantiations of the uncertain variables is presented in this paper. Coupling satisfaction in instantiations is essential to guarantee the equivalence between the coupled and decoupled UMDO formulations and therefore to ensure the physical relevance of the obtained designs. The proposed approach relies on the iterative construction of Polynomial Chaos Expansions in order to represent, at the convergence of the optimization problem, the coupling functional relations between the disciplines. The performances of the proposed formulation is assessed on an analytic test case and on the design of a new Vega launch vehicle upper stage." @default.
- W2100677752 created "2016-06-24" @default.
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- W2100677752 date "2014-06-13" @default.
- W2100677752 modified "2023-09-23" @default.
- W2100677752 title "Decoupled UMDO formulation for interdisciplinary coupling satisfaction under uncertainty" @default.
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- W2100677752 doi "https://doi.org/10.2514/6.2014-3014" @default.
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