2016
DOI: 10.1016/j.apm.2016.05.029
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Polynomial interpolation with repeated Richardson extrapolation to reduce discretization error in CFD

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Cited by 17 publications
(6 citation statements)
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“…The basis for the approximation is the numerical error (difference between analytical and numerical solutions) or by estimating the error of the numerical solution. The effective order (based on the numerical error) is given by [18].…”
Section: Repeated Richardson Extrapolationmentioning
confidence: 99%
“…The basis for the approximation is the numerical error (difference between analytical and numerical solutions) or by estimating the error of the numerical solution. The effective order (based on the numerical error) is given by [18].…”
Section: Repeated Richardson Extrapolationmentioning
confidence: 99%
“…After integrating twice and applying the BCs in the problems (36) and (37) , we come to the exact solution…”
Section: The Enate Schemementioning
confidence: 99%
“…Wang [36] gave a second-order exponential scheme for two-dimensional convectiondiffusion problems with just a five-point stencil, changing to fourth-order if Richardson extrapolation was applied. The effects of employing Richardson extrapolation in a CFD simulation are explored in [37] . A modern exponential scheme is given by Cui [38,39] where a Caputo time fractional model is presented for the unsteady transport equation.…”
Section: Introductionmentioning
confidence: 99%
“…represents higher-order terms in the polynomial. The Richardson extrapolation requires the use of at least three grid-levels (coarse, medium, and fine) [22,23,24], however, it is also possible to use an appropriately chosen number of grid-levels [25,26,27]. The refinement ratio r should be applied in each refinement step.…”
Section: Verification and Validation (Vandv) Assessmentmentioning
confidence: 99%