Reduced order modelling for static and dynamic aeroelastic predictions with multidisciplinary approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Aerospace Engineering,Transportation
Link
http://link.springer.com/content/pdf/10.1007/s13272-015-0154-3.pdf
Reference33 articles.
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3. Eldred, M.S.: Recent advances in non-intrusive polynomial chaos and stochastic collocation methods for uncertainty analysis and designs. In: 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA 2009–2274, Palm Springs, California, USA (2009)
4. Eldred, M.S., Burkardt, J.: Comparision of non-intusive polynomial chaos and stochastic collocation methods for uncertainty quantification. In: 47th AIAA Aerospace Sciences Meeting and Exhibit, AIAA 2009–0976, Orlando, FL, USA (2009)
5. Witteveen, J.A.S., Bijl, H.: Using polynomial chaos for uncertainty quantification in problems with nonlinearities. In: 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA 2006–2066, Newport, Rhode Island, USA (2006)
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