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Discrete multi-disciplinary predictions of a given system, coming from different fidelity sources, are used to construct regression models providing continuous estimate of system performance. This innovative framework allows us to take into account uncertainty by embedding risk tolerance in the system performance predictions.

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This page is a summary of: Multidisciplinary Risk-Adaptive Set-Based Design of Supercavitating Hydrofoils, AIAA Journal, August 2019, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.j057731.
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