Eisfeld, Bernhard
Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics
1. Methods and Strategies for the Detection and Management of Grid Induced Uncertainties in Numerical Aerodynamics
E. Mazlum, R. Radespiel
2. Quantification and Reduction of Numerical Uncertainties by Improvement of the TAU Grid Adaptation Tool and Adjoint Methods
Matthias Orlt, Nicolas R. Gauger
3. Application of Mesh Modifications and Adjoint Error Estimates
S. Albensoeder
4. Minimization and Quantification of Errors and Uncertainties in RANS Modeling
Tobias Schmidt, Charles Mockett, Frank Thiele
5. Sensor Controlled Zonal RANS-LES Method
Benedikt Roidl, Matthias Meinke, Wolfgang Schröder
6. The Application of Iterated Defect Corrections Based on WENO Reconstruction
Alexander Filimon, Claus-Dieter Munz
7. Uncertainties of Numerical Structural Models in the Frame of Aeroelasticity
P. Reich, A. Reim, M. Haupt, P. Horst
8. A Comparison of Fluid/Structure Coupling Methods for Reduced Structural Models
Georg Wellmer, Lars Reimer, Horst Flister, Marek Behr, Josef Ballmann
9. Improved Mesh Deformation
Holger Barnewitz, Bernd Stickan
10. Statistical Analysis of Parameter Variations Using the Taguchi Method
A. Wolf, D. Henes, S. Bogdanski, Th. Lutz, E. Krämer
11. Numerical Methods for Uncertainty Quantification and Bayesian Update in Aerodynamics
Alexander Litvinenko, Hermann G. Matthies
12. Efficient Quantification of Aerodynamic Uncertainties Using Gradient-Employing Surrogate Methods
Dishi Liu
13. Optimal Aerodynamic Design under Uncertainty
Volker Schulz, Claudia Schillings
Keywords: Engineering, Continuum Mechanics and Mechanics of Materials, Numerical and Computational Physics, Fluid- and Aerodynamics
- Author(s)
- Eisfeld, Bernhard
- Barnewitz, Holger
- Fritz, Willy
- Thiele, Frank
- Publisher
- Springer
- Publication year
- 2013
- Language
- en
- Edition
- 2013
- Series
- Notes on Numerical Fluid Mechanics and Multidisciplinary Design
- Page amount
- 11 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9783642361852