This volume contains results of the German CFD initiative MEGADESIGN which combines CFD development activities from DLR, universities and aircraft industry. Based on the DLR flow solvers FLOWer and TAU the main objectives of the four-years project is to ensure the prediction accuracy with a guaranteed error bandwidth for certain aircraft configurations at design conditions, to reduce the simulation turn-around time for large-scale applications significantly, to improve the reliability of the flow solvers for full aircraft configurations in the complete flight regime, to extend the flow solvers to allow for multidisciplinary simulations and to establish numerical shape optimization as a vital tool within the aircraft design process. This volume highlights recent improvements and enhancements of the flow solvers as well as new developments with respect to aerodynamic and multidisciplinary shape optimization. Improved numerical simulation capabilities are demonstrated by several industrial applications.

Zusammenfassung
Over the last decade, Computational Fluid Dynamics (CFD) has become a - ture technology for the development of new products in aeronautical industry. Aerodynamic design engineers have progressively taken advantage of the pos- bilities o?ered by the numericalsolutionof the Reynolds averagedNavier-Stokes (RANS) equations. Signi?cant improvements in physical modeling and solution algorithms as well as the enormous increase of computer power enable hi- ?delity numerical simulations in all stages of aircraft development. In Germany, the national CFD project MEGAFLOW furthered the dev- opment and availability of RANS solvers for the prediction of complex ?ow problemssigni?cantly. MEGAFLOWwasinitiated by the?rstaviationresearch programoftheFederalGovernmentin1995undertheleadershipoftheDLR(see Kroll, N. , Fassbender, J. K. (Eds). : MEGAFLOW Numerical Flow Simulation for Aircraft Design; Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Volume 89, Springer, 2005). A network from aircraft industry, DLR and several universities was created with the goal to focus and direct development activities for numerical ?ow simulation towards a common aerodynamic si- lation system providing both a block-structured (FLOWer-Code) and a hybrid (TAU-Code) parallel ?ow prediction capability. Today, both codes have reached a high level of maturity and reliability. They are routinely used at DLR and German aeronautic industry for a wide range of aerodynamic applications. For many universities the MEGAFLOW software represents a platform for the - provementofphysicalmodelsandfortheinvestigationofcomplex?owproblems. The network was established as an e?cient group of very closely co-operating partners with supplementing expertises and experience.

Inhalt
Reduction of Simulation Time.- Recent Developments of TAU Adaptation Capability.- Adaptive Wall Function for the Prediction of Turbulent Flows.- Acceleration of CFD Processes for Transport Aircraft.- Efficient Combat Aircraft Simulations with the TAU RANS Code.- Improvement of Simulation Quality.- Universal Wall Functions for Aerodynamic Flows: Turbulence Model Consistent Design, Potential and Limitations.- Computational Modelling of Transonic Aerodynamic Flows Using Near-Wall, Reynolds Stress Transport Models.- Transition Prediction for Three-Dimensional Configurations.- Application of Transition Prediction.- Numerical Simulation Quality Assessment for Transport Aircraft.- Fluid Structure Coupling.- Computational Methods for Aero-Structural Analysis and Optimisation of Aircrafts Based on Reduced-Order Structural Models.- Development and Application of TAU-ANSYS Coupling Procedure.- Fluid-Structure Coupling: Simplified Structural Model on Complex Configurations.- Improvement of Shape Optimization Strategies.- Development of an Automated Artificial Neural Network for Numerical Optimization.- modeFRONTIER©, a Framework for the Optimization of Military Aircraft Configurations.- One-Shot Methods for Aerodynamic Shape Optimization.- Automatic Differentiation of FLOWer and MUGRIDO.- Adjoint Methods for Coupled CFD-CSM Optimization.- Aerodynamic and Multidisciplinary Optimization of 3D-Configurations.- Aerodynamic Optimization for Cruise and High-Lift Configurations.- Aerodynamic Optimization of an UCAV Configuration.- Flexible Wing Optimisation Based on Shapes and Structures.- Multidisciplinary Optimization of an UAV Combining CFD and CSM.