Eisfeld B. et al. Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics

Bernhard Eisfeld, Holger Barnewitz, Willy Fritz, Frank Thiele - Springer Heidelberg New York Dordrecht London, 2013. XII, 339 p. 219 illus. — ISBN: 978-3-642-36184-5, e-ISBN: 978-3-642-36185-2 – (Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Vol. 122).Recent advances in numerical aerodynamics.
Report of the German research initiative MUNA which aimed to develop methods and procedures for reducing various types of uncertainties present in numerical flow simulations.
Written by experts in the field working in the academic or in the industrial sector.
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 modeling, methods for handling uncertainties of the geometry and grid deformation as well as stochastic methods for quantifying aleatoric uncertainties.
Content Level » Research.
Keywords » Grid Manipulation Methods - Handling Uncertainties of Geometry and Deformation -MUNA - Numerical Accuracy - Numerical Methods for Increasing Accuracy - Sensors - Sensors for Turbulence Modeling - Stochastic Methods and Robust Design - Uncertainty Quantification.
Related subjects » Classical Continuum Physics - Mechanics - Theoretical, Mathematical & Computational Physics.Mesh Generation and Manipulation.
Methods and Strategies for the Detection and Management of Grid.
Induced Uncertainties in Numerical Aerodynamics.
E. Mazlum, R. Radespiel.
Quantification and Reduction of Numerical Uncertainties by.
Improvement of the TAU Grid Adaptation Tool and Adjoint Methods.
Matthias Orlt, Nicolas R. Gauger.
Application of Mesh Modifications and Adjoint Error Estimates.
S. Albensoeder.
Turbulence Modeling.
Minimization and Quantification of Errors and Uncertainties in RANS.
Modeling.
Tobias Schmidt, Charles Mockett, Frank Thiele.
Sensor Controlled Zonal RANS-LES Method.
Benedikt Roidl.
Numerical Methods.
The Application of Iterated Defect Corrections Based on WENO.
Reconstruction.
Alexander Filimon, Claus-Dieter Munz.
Geometry and Deformation.
Uncertainties of Numerical Structural Models in the Frame of.
Aeroelasticity.
P. Reich, A. Reim, M. Haupt, P. Horst.
Comparison of Fluid/Structure Coupling Methods for Reduced.
Structural Models.
Georg Wellmer, Lars Reimer, Horst Flister, Marek Behr, Josef Ballmann.
Improved Mesh Deformation.
Holger Barnewitz, Bernd Stickan.
Stochastic Uncertainties.
Statistical Analysis of Parameter Variations Using the Taguchi Method.
A. Wolf, D. Henes, S. Bogdanski, Th. Lutz, E. Krämer.
Numerical Methods for Uncertainty Quantification and Bayesian.
Update in Aerodynamics.
Alexander Litvinenko, Hermann G. Matthies.
Efficient Quantification of Aerodynamic Uncertainties Using.
Gradient-Employing SurrogateMethods.
Dishi Liu.
Optimal Aerodynamic Design under Uncertainty.
Volker Schulz, Claudia Schillings.