Towards a Robust Multigrid Algorithm with Mach Number and Grid Independent Convergence

نویسنده

  • David L. Darmofal
چکیده

A semi-coarsened multigrid algorithm with a point block Jacobi smoother for the Euler equations is presented which produces convergences rates independent of grid size for moderate subsonic Mach numbers. By incorporation of local precondition-ing, the performance of the multigrid algorithm can be made largely independent of grid size and Mach number over a range of ow conditions from nearly incompressible to transonic ows including internal and external ows.

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تاریخ انتشار 1998