Overview
- Reports on innovative methods for uncertainty quantification and robust design optimization in engineering practice
- Includes extensive data on prescribed uncertainties relevant to the industrial practice in aeronautics
- Describes best practice on uncertainty quantification and robust and reliable design optimization
Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design (NNFM, volume 140)
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Table of contents (54 chapters)
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Front Matter
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The UMRIDA Project
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Front Matter
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Uncertainty Quantification (UQ) and Efficient Handling of a Large Number of Uncertainties
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Front Matter
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Keywords
- Uncertainty quantification methods
- Applications of uncertainty quantification
- Robust design optimization
- Reliable design optimization
- Optimization under uncertainties
- Industrial design practice
- Aleatory uncertainties
- Manufacturing uncertainties
- Mesh adaptation
- Perturbation method
- Adjoint based methods
- Non-intrusive polynomial chaos
- Non-intrusive collocation methods
- Database with prescribed uncertainties
- Multi-Level Monte-Carlo
- Virtual prototyping
- Cost effective design
- Airfoil shape optimization
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Uncertainty Management for Robust Industrial Design in Aeronautics
Book Subtitle: Findings and Best Practice Collected During UMRIDA, a Collaborative Research Project (2013–2016) Funded by the European Union
Editors: Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk, Jordi Pons-Prats
Series Title: Notes on Numerical Fluid Mechanics and Multidisciplinary Design
DOI: https://doi.org/10.1007/978-3-319-77767-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-77766-5Published: 07 August 2018
Softcover ISBN: 978-3-030-08534-6Published: 14 December 2018
eBook ISBN: 978-3-319-77767-2Published: 21 July 2018
Series ISSN: 1612-2909
Series E-ISSN: 1860-0824
Edition Number: 1
Number of Pages: IX, 819
Number of Illustrations: 93 b/w illustrations, 370 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Engineering Design, Numerical and Computational Physics, Simulation, Acoustics