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Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

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Release : 2018-06-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 437/5 ( reviews)

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Book Synopsis Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines by : Francesco Montomoli

Download or read book Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines written by Francesco Montomoli. This book was released on 2018-06-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

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Author :
Release : 2015
Genre :
Kind : eBook
Book Rating : 829/5 ( reviews)

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Book Synopsis Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines by : Francesco Montomoli

Download or read book Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines written by Francesco Montomoli. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces novel design techniques developed to increase the safety of aircraft engines. The authors demonstrate how the application of uncertainty methods can overcome problems in the accurate prediction of engine lift, caused by manufacturing error. This in turn ameliorates the difficulty of achieving required safety margins imposed by limits in current design and manufacturing methods. This text shows that even state-of-the-art computational fluid dynamics (CFD) are not able to predict the same performance measured in experiments; CFD methods assume idealised geometries but ideal geometries do not exist, cannot be manufactured and their performance differs from real-world ones. By applying geometrical variations of a few microns, the agreement with experiments improves dramatically, but unfortunately the manufacturing errors in engines or in experiments are unknown. In order to overcome this limitation, uncertainty quantification considers the probability density functions of manufacturing errors. It is then possible to predict the overall variation of the jet engine performance using stochastic techniques. Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines demonstrates that some geometries are not affected by manufacturing errors, meaning that it is possible to design safer engines. Instead of trying to improve the manufacturing accuracy, uncertainty quantification when applied to CFD is able to indicate an improved design direction. This book will be of interest to gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergraduate students may also find it of use.

Uncertainty Quantification in Computational Fluid Dynamics

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Author :
Release : 2013-09-20
Genre : Mathematics
Kind : eBook
Book Rating : 854/5 ( reviews)

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Book Synopsis Uncertainty Quantification in Computational Fluid Dynamics by : Hester Bijl

Download or read book Uncertainty Quantification in Computational Fluid Dynamics written by Hester Bijl. This book was released on 2013-09-20. Available in PDF, EPUB and Kindle. Book excerpt: Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.

Uncertainty Quantification for High-Order, High-Performance Computational Fluid Dynamics

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Author :
Release : 2022
Genre :
Kind : eBook
Book Rating : 005/5 ( reviews)

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Book Synopsis Uncertainty Quantification for High-Order, High-Performance Computational Fluid Dynamics by : Jakob Dürrwächter

Download or read book Uncertainty Quantification for High-Order, High-Performance Computational Fluid Dynamics written by Jakob Dürrwächter. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt:

Special Issue

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Author :
Release : 2012
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Special Issue by :

Download or read book Special Issue written by . This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:

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