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LEADER 00000cam  2200589Ii 4500 
001    1045629694 
003    OCoLC 
005    20190808063214.1 
006    m     o  d         
007    cr cnu|||unuuu 
008    180724s2019    sz      ob    000 0 eng d 
015    GBB8M3816|2bnb 
019    1046101721 
020    9783319777672|q(electronic bk.) 
020    331977767X|q(electronic bk.) 
020    |z9783319777665 
020    |z3319777661 
035    (OCoLC)1045629694|z(OCoLC)1046101721 
037    com.springer.onix.9783319777672|bSpringer Nature 
040    N$T|beng|erda|epn|cN$T|dN$T|dGW5XE|dYDX|dOCLCF|dMERER
049    MAIN 
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-
       Prats, editors. 
264  1 Cham, Switzerland :|bSpringer,|c[2019] 
264  4 |c2019. 
300    1 online resource. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc|0
347    text file|2rdaft|0
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)|0
650  0 Estimation theory.|0
650  0 Airplanes|xDesign and construction.|0
650  0 Industrial design|xManagement.|0
655  4 Electronic books. 
700 1  Hirsch, Charles,|0
776 08 |iPrint version:|tUncertainty Management for Robust 
       Industrial Design in Aeronautics.|dCham, Switzerland : 
       Springer, [2019]|z3319777661|z9783319777665
830  0 Notes on numerical fluid mechanics and multidisciplinary 
       design ;|0
       |vv. 140. 
990    SpringerLink|bSpringer English/International eBooks 2019 -
       Full Set|c2019-08-07|yNew collection 
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