Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and possible remedies are suggested. The method is applied to the case of turbulent flow past a backward facing step using nonuniform grid distributions. It is demonstrated that RE can be used to obtain grid independent solutions using the same grid refinement factors in both coordinate directions. The use of generalized wall functions together with the standard k-epsilon model seems to work well even if the grid refinement extends into the viscous sublayer. In addition, the grid convergence index and other standard uncertainty measures are compared and a new uncertainty measure is suggested which seems to be a better indicator for the grid conver...
Most real life problems are non-linear and are amenable only to numerical13; methods. There is alway...
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...
The concept of Richardson extrapolation is evaluated for improving the solution accuracy of two well...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
A grid-embedding technique for the solution of two-dimensional incompressible flows governed by the ...
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...
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...
AbstractWhen the finite-difference method is used to solve initial- or boundary value problems with ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
AbstractRichardson Extrapolation is a powerful computational tool which can successfully be used in ...
This paper presents an evaluation of a method for the estimation of the discretization uncertainty b...
International audienceThe use of simulation has spread to all areas of engineering and science, and ...
Most real life problems are non-linear and are amenable only to numerical13; methods. There is alway...
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...
The concept of Richardson extrapolation is evaluated for improving the solution accuracy of two well...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
A grid-embedding technique for the solution of two-dimensional incompressible flows governed by the ...
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...
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...
AbstractWhen the finite-difference method is used to solve initial- or boundary value problems with ...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
AbstractRichardson Extrapolation is a powerful computational tool which can successfully be used in ...
This paper presents an evaluation of a method for the estimation of the discretization uncertainty b...
International audienceThe use of simulation has spread to all areas of engineering and science, and ...
Most real life problems are non-linear and are amenable only to numerical13; methods. There is alway...
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...