The concept of Richardson extrapolation is evaluated for improving the solution accuracy of two well-investigated two-dimensional flow problems: (1) laminar cavity flows with Re = 100 and 1,000; and (2) the Reynolds-averaged backward-facing step turbulent flow with Re = 106, aided by the widely used k-ε two-equation model with wall function. Uniform grid systems are employed in all cases to facilitate unambiguous assessment. By systematically refining the grid, computational fluid dynamics (CFD) solutions with different resolutions are first obtained, then extrapolated from a finer to a coarser grid using Lagrangian interpolation with either a 9-point or a 16-point formula. For laminar flows, Richardson extrapolation does not exhibit consis...
A posteriori error estimators are fundamental tools for providing confidence in the numerical comput...
Since its conception, computational fluid dynamics (CFD) has had a role to play in both the industri...
AbstractWhen the finite-difference method is used to solve initial- or boundary value problems with ...
Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and p...
Richardson extrapolation is a methodology for improving the order of accuracy of nu-merical solution...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
Summary The justification of estimating the numerical and modelling error of large eddy simulation u...
The assessment of numerical uncertainty in CFD (Computational Fluid Dynamics) relies on the estimati...
Most real life problems are non-linear and are amenable only to numerical13; methods. There is alway...
Richardson extrapolation (RE) is based on a very simple and elegant mathematical idea that has been ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
A grid-embedding technique for the solution of two-dimensional incompressible flows governed by the ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
This investigation is concerned with the accuracy of numerical schemes for solving partial different...
summary:Multi-dimensional advection terms are an important part of many large-scale mathematical mod...
A posteriori error estimators are fundamental tools for providing confidence in the numerical comput...
Since its conception, computational fluid dynamics (CFD) has had a role to play in both the industri...
AbstractWhen the finite-difference method is used to solve initial- or boundary value problems with ...
Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and p...
Richardson extrapolation is a methodology for improving the order of accuracy of nu-merical solution...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
Summary The justification of estimating the numerical and modelling error of large eddy simulation u...
The assessment of numerical uncertainty in CFD (Computational Fluid Dynamics) relies on the estimati...
Most real life problems are non-linear and are amenable only to numerical13; methods. There is alway...
Richardson extrapolation (RE) is based on a very simple and elegant mathematical idea that has been ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
A grid-embedding technique for the solution of two-dimensional incompressible flows governed by the ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
This investigation is concerned with the accuracy of numerical schemes for solving partial different...
summary:Multi-dimensional advection terms are an important part of many large-scale mathematical mod...
A posteriori error estimators are fundamental tools for providing confidence in the numerical comput...
Since its conception, computational fluid dynamics (CFD) has had a role to play in both the industri...
AbstractWhen the finite-difference method is used to solve initial- or boundary value problems with ...