This ebook, Uncertainty Management for Robust Industrial Design in Aeronautics (PDF) covers innovative findings connected to uncertainty metrology and optimization under unpredictabilities (i.e. robust and dependable optimization), with an unique focus on turbomachinery nd aeronautics, although not restricted to these fields. It explains brand-new techniques for uncertainty metrology, such as non-intrusive polynomial turmoil, junction techniques, perturbation techniques, along with adjoint-based and multi-level Monte Carlo techniques. It consists of techniques for characterization of a lot of prominent unpredictabilities, along with solutions for robust and dependable design optimization. An unique component of the ebook is the distinct collection of test cases with recommended unpredictabilities, which are representative of the present engineering practice of the industrial consortium partners included in UMRIDA, a level 1 collective task within the European Commission’s Seventh Framework Programme (FP7). All established techniques are benchmarked versus these industrial obstacles. Moreover, the ebook consists of an area committed to Best Practice Guidelines for uncertainty metrology and robust design optimization, summing up the findings gotten by the consortium members within the UMRIDA task. All in all, the book uses a reliable guide to innovative methods for uncertainty management in engineering design, covers a wide variety of applications and talks about originalities for future research study and interdisciplinary cooperations.
Uncertainty Management for Robust Industrial Design in Aeronautics: Findings and Best Practice Collected During UMRIDA
eBook details
- Authors: Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Lukasz Laniewski, Jordi Pons-Prats
- File Size: 31 MB
- Format: PDF
- Length: 819 pages
- Publisher: Springer; 1st ed. 2019 edition
- Publication Date: July 21, 2018
- Language: English
- ASIN: B07FNH2L4W
- ISBN-10: 3319777661, 3030085341
- ISBN-13: 9783319777665, 9783030085346
$195.00 $29.00
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