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Uncertainty management for robust in...

Hirsch, Charles.

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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty management for robust industrial design in aeronautics/ edited by Charles Hirsch ... [et al.].
Reminder of title:	findings and best practice collected during UMRIDA, a collaborative research project (2013-2016), funded by the European Union /
other author:	Hirsch, Charles.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	ix, 819 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Measurement uncertainty (Statistics) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-77767-2
ISBN:	9783319777672

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 /
Uncertainty management for robust industrial design in aeronauticsfindings and best practice collected during UMRIDA, a collaborative research project (2013-2016), funded by the European Union /[electronic resource] :edited by Charles Hirsch ... [et al.]. - Cham :Springer International Publishing :2019. - ix, 819 p. :ill., digital ;24 cm. - Notes on numerical fluid mechanics and multidisciplinary design,v.1401612-2909 ;. - Notes on numerical fluid mechanics and multidisciplinary design ;v.140..

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.

ISBN: 9783319777672

Standard No.: 10.1007/978-3-319-77767-2doiSubjects--Topical Terms:

2010713
Measurement uncertainty (Statistics)

LC Class. No.: QA276.8

Dewey Class. No.: 519.544

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 /
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520 $a 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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