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Computational Details:

"Flow around a truck (without wind shield, but with cargo, street version) at medium Reynolds number" Back to >>Flow around a truck (without wind shield, but with cargo, street version) at medium Reynolds number<<


Description of the flow problem
Description of the spatial discretization
Description of the temporal discretization
Computer requirements
Mathematical details




Description of the flow problem

  • length of domain: 4.8; height of domain: 1.98
  • length of truck: 0.6; height of truck: 0.36; distance to street: 0.06
  • inflow b.c.'s: constant with (maximum) velocity 1 at the left edge and at the upper wall
  • outflow b.c.'s: natural "do nothing" b.c.'s
  • other b.c.'s: zero velocity at fixed walls
  • initial condition at t=0: starting from fully developed
  • viscosity parameter: 1/nu=100,000




Description of the spatial discretization

  • coarse mesh (=level 1): 339 cells, 388 vertices, 1,793 d.o.f.`s



  • uniform refinements with exact boundary adaption
  • visualization on level 4: 21,696 cells, 22,088 vertices, 109,264 d.o.f.`s
  • computational mesh on level 6: 347,136 cells, 348,704 vertices, 1,738,816 d.o.f.`s
  • nonconforming nonparametric rotated bilinear fem's (meanvalue version), UPW




Description of the temporal discretization

  • equidistant time stepping for computation with k=0.0033333
  • equidistant time stepping for visualization with k=0.066666 (= 1 frame)
  • Total time T=10 corresponds to 3,000 time steps
  • fractional step theta scheme




Computer requirements

  • date: 11/27/97
  • simulation by: S.Turek/A.Runge/A.Wild
  • visualization by: S.Turek
  • SGI PowerIndigo2/10K: 285 MB, 468,124 seconds
  • AVS data: 590 MB
  • Software: FEATFLOW1.0 + BOUSS




Mathematical details

  • For more details about numerical and algorithmic aspects see the `Mathematical Background' in the FEATFLOW manual or visit our paper archive for much more details.
  • The problem-specific data for the applied software version including parameter files and input data can be downloaded here!




Please send any comments and suggestions to: featflow@featflow.de