Embedded Parallelization Approach for Optimization in Aerodynamic Design

Multiconstrained aerodynamic design of business jet by CFD driven optimization tool

“…[13][14][15][16] shows that the inclusion of the above constraint resulted (as aerodynamically expected) in a higher loading of the leading edge area of the wing, especially of its inboard part.…”

“…To reach this goal it was proposed to employ an embedded multilevel parallelization strategy [16] which includes: Level 1 -Parallelization of full Navier-Stokes solver; Level 2 -Parallel CFD scanning of the search space; Level 3 -Parallelization of the GAs optimization process; Level 4 -Parallel optimal search on multiple search domains and Level 5 -Parallel grid generation.…”

A new efficient technology of aerodynamic design based on CFD driven optimization

“…Thus the construction of a computationally efficient algorithm is vital for the success of the method in engineering environment. To achieve this goal a multilevel parallelization strategy [11] was used. It includes parallelization of the multiblock full Navier-Stokes solver, parallel evaluation of objective function and, finally, parallelization of the optimization framework.…”

A Realizable Version of the k-w Turbulence Model

“…It is emphasized that better predictions may be possible on a finer mesh but the aim here was to compare the two model versions on the same grid, rather than refine this 3D mesh with the hope of obtaining improved predictions. (Kussoy et al, 1993) Transonic Flow over the ARA M100 Wing/Fuselage Configuration This M=0.803 wing/body test case, reported by Peigin and Epstein (2004), is at α= 2.87 o and a chord Reynolds number Re c = 13.1x10 6 . The NASA mesh (cfl3d.larc.nasa.gov/Cfl3dv6/cfl3dv6_testcases.html) has 860,000 cells with an off-wall y + distribution as follows: y + wing =0.8, 0.1≤ y + fuselage ≤ 30, the former with a growth rate of 1.1.…”