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This book presents recent progress in the application of RANS
turbulence models based on the Reynolds stress transport equations.
A variety of models has been implemented by different groups into
different flow solvers and applied to external as well as to turbo
machinery flows. Comparisons between the models allow an assessment
of their performance in different flow conditions. The results
demonstrate the general applicability of differential Reynolds
stress models to separating flows in industrial aerodynamics.
This book presents recent progress in the application of RANS
turbulence models based on the Reynolds stress transport equations.
A variety of models has been implemented by different groups into
different flow solvers and applied to external as well as to turbo
machinery flows. Comparisons between the models allow an assessment
of their performance in different flow conditions. The results
demonstrate the general applicability of differential Reynolds
stress models to separating flows in industrial aerodynamics.
This volume reports results from the German research initiative
MUNA (Management and Minimization of Errors and Uncertainties in
Numerical Aerodynamics), which combined development activities of
the German Aerospace Center (DLR), German universities and German
aircraft industry. The main objective of this five year project was
the development of methods and procedures aiming at reducing
various types of uncertainties that are typical of numerical flow
simulations. The activities were focused on methods for grid
manipulation, techniques for increasing the simulation accuracy,
sensors for turbulence modelling, methods for handling
uncertainties of the geometry and grid deformation as well as
stochastic methods for quantifying aleatoric uncertainties.
This volume reports results from the German research initiative
MUNA (Management and Minimization of Errors and Uncertainties in
Numerical Aerodynamics), which combined development activities of
the German Aerospace Center (DLR), German universities and German
aircraft industry. The main objective of this five year project was
the development of methods and procedures aiming at reducing
various types of uncertainties that are typical of numerical flow
simulations. The activities were focused on methods for grid
manipulation, techniques for increasing the simulation accuracy,
sensors for turbulence modelling, methods for handling
uncertainties of the geometry and grid deformation as well as
stochastic methods for quantifying aleatoric uncertainties.
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