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Image of Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Electronic Resource

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Montomoli, Francesco - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908002083EB0002789629.134 35 UncCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
629.134 35 Unc
Publisher
Switzerland : Springer Cham., 2018
Collation
x, 198p.:Ill
Language
English
ISBN/ISSN
978-3-319-92943-9
Classification
629.134 35
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Computational fluid dynamics
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
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