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001 978-3-319-77767-2
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020 _a9783319777672
_9978-3-319-77767-2
024 7 _a10.1007/978-3-319-77767-2
_2doi
050 4 _aTA352-356
072 7 _aTGMD4
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a620.3
_223
245 1 0 _aUncertainty Management for Robust Industrial Design in Aeronautics
_h[electronic resource] :
_bFindings and Best Practice Collected During UMRIDA, a Collaborative Research Project (2013–2016) Funded by the European Union /
_cedited by Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk, Jordi Pons-Prats.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aIX, 819 p. 463 illus., 370 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNotes on Numerical Fluid Mechanics and Multidisciplinary Design,
_x1860-0824 ;
_v140
520 _aThis 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. .
650 0 _aMultibody systems.
_96018
650 0 _aVibration.
_96645
650 0 _aMechanics, Applied.
_93253
650 0 _aEngineering design.
_93802
650 0 _aMathematical physics.
_911013
650 0 _aAcoustics.
_919841
650 1 4 _aMultibody Systems and Mechanical Vibrations.
_932157
650 2 4 _aEngineering Design.
_93802
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_931560
650 2 4 _aAcoustics.
_919841
700 1 _aHirsch, Charles.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_951913
700 1 _aWunsch, Dirk.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_951914
700 1 _aSzumbarski, Jacek.
_eeditor.
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_951915
700 1 _aŁaniewski-Wołłk, Łukasz.
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_951916
700 1 _aPons-Prats, Jordi.
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_951917
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319777689
776 0 8 _iPrinted edition:
_z9783030085346
830 0 _aNotes on Numerical Fluid Mechanics and Multidisciplinary Design,
_x1860-0824 ;
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_951919
856 4 0 _uhttps://doi.org/10.1007/978-3-319-77767-2
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