Optimum Aerodynamic Design & Parallel Navier-Stokes by Jacques Periaux, Gabriel Bugeda, Kyriakos Giannakoglou,
By Jacques Periaux, Gabriel Bugeda, Kyriakos Giannakoglou, Bertrand Mantel, Stephane Lanteri, Panagiotis Chaviaropoulos
This quantity entitled "European Computational Aerodynamics learn undertaking (ECARP)" includes the contributions of companions awarded in paintings outlets keen on the subsequent components: job three on optimal layout and activity 4.2 on Navier Stokes circulation algorithms on vastly Parallel Processors. ECARP has been supported by means of the ecu Union (EU) in the course of the Indus trial and fabrics know-how Programme, sector three Aeronautics, with the 3rd examine Framework Programme (1990-1994). half A of this quantity is concentrated on computational limited optimization as a keep on with up of the ecu examine venture" optimal layout in Aerodynamics" , (AERO-S9-0026) facing extra viscous circulate established genuine functions. It seasoned vides the reader with a collection of optimization instruments and referenced info worthy in glossy aerodynamic layout. job three of the venture entitled "Optimum layout" introduced jointly thirteen Euro pean companions from the educational and commercial aeronautic orientated neighborhood exhibiting state-of-the-art services in conventional automatic optimization software program on present computing device know-how to enhance the aptitude to optimize airplane shapes.
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Additional info for Optimum Aerodynamic Design & Parallel Navier-Stokes Computations ECARP — European Computational Aerodynamics Research Project
We encourage the use of comment lines in order to describe the content of the files; • predefined identifiers must be used to be associated to the keyword value: Sl : y-shape : y-shape-loc: h-fact : cp-coef: cp-coef-loc: cf-coef: 42 y=f (x), geometry shape for two-dimensional geometries. y=f (x), geometry shape for three-dimensional geometries loc indicates the spanwise location (0, 20, 40, 60, 80, 100). H =f (x), boundary layer form factor. Cp=f (x), pressure coefficient for two-dimensional geometries.
In terms of Cp distribution the optimized shape is close to the target but not identical to the target (cf. fig. 2 and 3). The local lift has been recovered, the overspeeds aside the pylon have been limited and the influence of the pressure recovery of the pylon has decreased. However few degrees of freedom have been used ( 28 ) for solving this quite inverse problem, and their evolution have been limited in order to find out a realistic wing without crazy span wise gradient of thickness . 35. It is only possible to improve the shape without matching the target pressure distribution.
For a computational solution this implies some details on the approximation method (Finite-Difference, -Volume, -Element scheme or other, central/upwind, structured/unstructured mesh, single/multi-block data, etc ... ) and solution method (implicit, multigrid, preconditioners, etc). The grid is defined by the list of node coordinates, and the basic properties (density, momentum components and en45 ergy) at nodal points are stored. A rather general graphics software ("VIGIE") currently under continuing development at Sophia Antipolis, permits to visualize iso-value contours (or domains), plots in adjustable cross-sections, local enlargements (zooms), etc.