Non-Fiction Books:

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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Description

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.
Release date Australia
August 7th, 2018
Audience
  • Professional & Vocational
Contributors
  • Edited by Charles Hirsch
  • Edited by Dirk Wunsch
  • Edited by Jacek Szumbarski
  • Edited by Jordi Pons-Prats
  • Edited by Lukasz Laniewski-Wollk
Edition
1st ed. 2019
Illustrations
370 Illustrations, color; 93 Illustrations, black and white; IX, 819 p. 463 illus., 370 illus. in color.
Pages
819
ISBN-13
9783319777665
Product ID
27604527

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