Actions for Reliability enhancement of Navier-Stokes codes through convergence enhancement

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Reliability enhancement of Navier-Stokes codes through convergence enhancement

Author
Dulikravich, G. S.
Published
Nov 1, 1993.
Physical Description
1 electronic document
Additional Creators
Choi, K.-Y.
Online Version

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Summary
Reduction of total computing time required by an iterative algorithm for solving Navier-Stokes equations is an important aspect of making the existing and future analysis codes more cost effective. Several attempts have been made to accelerate the convergence of an explicit Runge-Kutta time-stepping algorithm. These acceleration methods are based on local time stepping, implicit residual smoothing, enthalpy damping, and multigrid techniques. Also, an extrapolation procedure based on the power method and the Minimal Residual Method (MRM) were applied to the Jameson's multigrid algorithm. The MRM uses same values of optimal weights for the corrections to every equation in a system and has not been shown to accelerate the scheme without multigriding. Our Distributed Minimal Residual (DMR) method based on our General Nonlinear Minimal Residual (GNLMR) method allows each component of the solution vector in a system of equations to have its own convergence speed. The DMR method was found capable of reducing the computation time by 10-75 percent depending on the test case and grid used. Recently, we have developed and tested a new method termed Sensitivity Based DMR or SBMR method that is easier to implement in different codes and is even more robust and computationally efficient than our DMR method.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 19940018591.
Accession ID: 94N23064.
NASA Propulsion Engineering Research Center, Volume 2; p 181-186.
Terms of Use and Reproduction
No Copyright.
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