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LEADER 00000cam 2200589Ii 4500
006 m o d
007 cr cnu|||unuuu
008 180724s2019 sz ob 000 0 eng d
020 9783319777672|q(electronic bk.)
020 331977767X|q(electronic bk.)
037 com.springer.onix.9783319777672|bSpringer Nature
050 4 QA276.8
072 7 MAT|x029000|2bisacsh
072 7 MAT|x003000|2bisacsh
082 04 519.5/44|223
245 00 Uncertainty Management for Robust Industrial Design in
Aeronautics :|bFindings and Best Practice Collected During
UMRIDA, a Collaborative Research Project (2013--2016)
Funded by the European Union /|cCharles Hirsch, Dirk
Wunsch, Jacek Szumbarski, ukasz aniewski-Wok, Jordi Pons-
264 1 Cham, Switzerland :|bSpringer,|c
264 4 |c2019.
300 1 online resource.
338 online resource|bcr|2rdacarrier
347 text file|2rdaft|0http://rdaregistry.info/termList/
490 1 Notes on numerical fluid mechanics and multidisciplinary
design ;|vvolume 140.
504 Includes bibliographical references.
505 0 Part I:Selected Results of the UMRIDA Project.-Part II --
UMRIDA Best Practice Guide for Uncertainty Quantification
and Robust Design in Engineering Practice.
520 "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."--
|cProvided by publisher.
588 Online resource; title from PDF title page (EBSCO, viewed
July 25, 2018).
650 0 Measurement uncertainty (Statistics)|0http://id.loc.gov/
650 0 Estimation theory.|0http://id.loc.gov/authorities/subjects
650 0 Airplanes|xDesign and construction.|0http://id.loc.gov/
650 0 Industrial design|xManagement.|0http://id.loc.gov/
655 4 Electronic books.
700 1 Hirsch, Charles,|0http://id.loc.gov/authorities/names/
776 08 |iPrint version:|tUncertainty Management for Robust
Industrial Design in Aeronautics.|dCham, Switzerland :
830 0 Notes on numerical fluid mechanics and multidisciplinary
990 SpringerLink|bSpringer English/International eBooks 2019 -
Full Set|c2019-08-07|yNew collection