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Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Montomoli, Francesco, editor (Springer Cham, 2019)

 Abstract

This book introduces design techniques developed to increase the safety of aircraft engines, and demonstrates how the application of stochastic methods can overcome problems in the accurate prediction of engine lift caused by manufacturing error. This in turn addresses the issue of achieving required safety margins when hampered by limits in current design and manufacturing methods. The authors show that avoiding the potential catastrophe generated by the failure of an aircraft engine relies on the prediction of the correct behaviour of microscopic imperfections. This book shows how to quantify the possibility of such failure, and that it is possible to design components that are inherently less risky and more reliable.
This new, updated and significantly expanded edition gives an introduction to engine reliability and safety to contextualise this important issue, evaluates newly-proposed methods for uncertainty quantification as applied to jet engines.Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines will be of use to gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergraduate students in aerospace or mathematical engineering may also find it of interest.

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 Metadata

Collection Type : eBooks
Call Number : e20501522
Additional entry-Personal name :
Subject :
Publishing : Switzerland: Springer Cham, 2019
Responsibility Statement
Language Code eng
Edition second edition
Collection Source Springerlink
Cataloguing Source LibUI eng rda
Content Type text
Media Type computer
Carrier Type online resource
Physical Description x, 198 pages : illustration
Link http://link.springer.com/openurl?genre=book&isbn=978-3-319-92943-9
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Call Number Barcode Number Availability
e20501522 20-23-74181232 TERSEDIA
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No review available for this collection: 9999920520483
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