Numerical simulation of maneuvering combat aircraft

Schütte, Andreas; Einarsson, Gunnar; Schöning, Britta; Raichle, Axel; Alrutz, Thomas; Mönnich, W.; Neumann, Jens; Heinecke, Jörg

doi:10.1007/978-3-540-33287-9_13

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…Our example application for simulation of a maneuvering combat aircraft consist of three major numerical codes (see [3] for details): -The computational fluid dynamics solver TAU [4] for aero-dynamics, -the structure mechanics solver NASTRAN for aero-elasticity, and -the flight mechanics solver SIMULA [5].…”

Section: Simulation Of a Maneuvering Combat Aircraftmentioning

confidence: 99%

Provenance Implementation in a Scientific Simulation Environment

Kloss

Schreiber

2006

Provenance and Annotation of Data

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Abstract. Many of today's engineering applications for simulations are lacking machanisms to trace the generation of results and the underlying processes. Especially computations conducted in distribued computing environments as Grids are lacking suitable means to keep track of used resources. Trust of engineers in results produced within distribued simulation environments is very limited without this information. This paper will demonstrate how trust and confidence in simulation results could be achived for engineering applications. It will highlight the backgrounds of the application, of provenance recording, the mapping to the application, and finally the implementation of provenance awareness for the application. Additionally it will present examples of analyzing the information stored to be of further use to the engineer.

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Section: Simulation Of a Maneuvering Combat Aircraftmentioning

confidence: 99%

Provenance Implementation in a Scientific Simulation Environment

Kloss

Schreiber

2006

Provenance and Annotation of Data

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“…Concerning military aircraft applications numerical simulations for the X-31 configuration have been carried out with the TAU-Code [5]. These computations show the capability of the TAU-Code to simulate complex delta wing configurations with rounded leading edges.…”

Section: Military Aircraftmentioning

confidence: 99%

“…Within the DLR internal project SikMa [5,44] a multidisciplinary simulation tool for maneuvering aircraft is being developed and validated. The unstructured, time-accurate flow solver TAU is coupled with a computational module solving the flight-mechanic equations and a structural mechanics code determining the structural deformations.…”

Section: Multidisciplinary Simulationsmentioning

confidence: 99%

Mathematical Modelling of Flow through Pleated Cartridge Filters

Nassehi

Waghode

Hanspal

et al. 2006

Progress in Industrial Mathematics at ECMI 2004

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Summary. Some years ago the national CFD project MEGAFLOW was initiated in Germany, which combined many of the CFD development activities from DLR, universities and aircraft industry. Its goal was the development and validation of a dependable and efficient numerical tool for the aerodynamic simulation of complete aircraft which met the requirements of industrial implementations. The MEGAFLOW software system includes the block-structured Navier-Stokes code FLOWer and the unstructured Navier-Stokes code TAU. Both codes have reached a high level of maturity and they are intensively used by DLR and the German aerospace industry in the design process of new aircraft. Recently, the follow-on project MEGADESIGN was set up which focuses on the development and enhancement of efficient numerical methods for shape design and optimization. This paper highlights recent improvements and enhancements of the software. Its capability to predict viscous flows around complex industrial applications for transport aircraft design is demonstrated. First results concerning shape optimization are presented.

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“…The range of applications in which moving geometries are essential is quite broad; a very short list includes store separation, 1 rotorcraft, 2 flutter analysis, 3 and maneuvering aircraft. 4 Depending on the particular application, different types of mesh motion schemes within the CFD solver may be needed. For example, analysis of a rigid aircraft in spin is most efficiently done with a mesh in which all points move as a rigid body along with the aircraft.…”

Section: Introductionmentioning

confidence: 99%

Recent Enhancements to the FUN3D Flow Solver for Moving-Mesh Applications

Biedron

Thomas

2009

47th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

122

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An unsteady Reynolds-averaged Navier-Stokes solver for unstructured grids has been extended to handle general mesh movement involving rigid, deforming, and overset meshes. Mesh deformation is achieved through analogy to elastic media by solving the linear elasticity equations. A general method for specifying the motion of moving bodies within the mesh has been implemented that allows for inherited motion through parent-child relationships, enabling simulations involving multiple moving bodies. Several example calculations are shown to illustrate the range of potential applications. For problems in which an isolated body is rotating with a fixed rate, a noninertial reference-frame formulation is available. An example calculation for a tilt-wing rotor is used to demonstrate that the time-dependent moving grid and noninertial formulations produce the same results in the limit of zero time-step size.

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Numerical simulation of maneuvering combat aircraft

Cited by 6 publications

References 2 publications

Provenance Implementation in a Scientific Simulation Environment

Provenance Implementation in a Scientific Simulation Environment

Mathematical Modelling of Flow through Pleated Cartridge Filters

Recent Enhancements to the FUN3D Flow Solver for Moving-Mesh Applications

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