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Uncertainty Management for Robust Industrial Design in Aeronautics - Findings and Best Practice Collected During UMRIDA, a Collaborative Research Project (2013-2016) Funded by the European Union (Hardcover, 1st ed. 2019)
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Uncertainty Management for Robust Industrial Design in Aeronautics - Findings and Best Practice Collected During UMRIDA, a Collaborative Research Project (2013-2016) Funded by the European Union (Hardcover, 1st ed. 2019)
Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 140
Expected to ship within 10 - 15 working days
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This book covers cutting-edge findings related to uncertainty
quantification and optimization under uncertainties (i.e. robust
and reliable optimization), with a special emphasis on aeronautics
and turbomachinery, although not limited to these fields. It
describes new methods for uncertainty quantification, such as
non-intrusive polynomial chaos, collocation methods, perturbation
methods, as well as adjoint based and multi-level Monte Carlo
methods. It includes methods for characterization of most
influential uncertainties, as well as formulations for robust and
reliable design optimization. A distinctive element of the book is
the unique collection of test cases with prescribed uncertainties,
which are representative of the current engineering practice of the
industrial consortium partners involved in UMRIDA, a level 1
collaborative project within the European Commission's Seventh
Framework Programme (FP7). All developed methods are benchmarked
against these industrial challenges. Moreover, the book includes a
section dedicated to Best Practice Guidelines for uncertainty
quantification and robust design optimization, summarizing the
findings obtained by the consortium members within the UMRIDA
project. All in all, the book offers a authoritative guide to
cutting-edge methodologies for uncertainty management in
engineering design, covers a wide range of applications and
discusses new ideas for future research and interdisciplinary
collaborations.
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