Add to ORKGUsing Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact problem and uncertainties exist. There is a method to approximate the errors in CFD via Richardson\u27s Extrapolation. This method is based off of progressive grid refinement. To estimate the errors in an unstructured grid, the analyst must interpolate between at least three grids. This paper describes a study to find an appropriate interpolation scheme that can be used in Richardson\u27s extrapolation or other uncertainty method to approximate errors
Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and p...
The work presented in this thesis aims to provide various tools to be used during design process to ...
The main difference between an experimental study and the corresponding numerical simulation is that...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
The assessment of numerical uncertainty in CFD (Computational Fluid Dynamics) relies on the estimati...
The concept of Richardson extrapolation is evaluated for improving the solution accuracy of two well...
While Computational Fluid Dynamics (CFD) is making extensive use of the power of computational techn...
Numerical simulation has now become an integral part of engineering design process. Critical design ...
Due to high performance of modern computers, Uncertainty Quantification is becoming an important par...
The present paper addresses the question: ``What are the general classes of uncertainty and error so...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
Computational Fluid Dynamics (CFD) is the standard numerical tool used by Fluid Dynamists to estimat...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and p...
The work presented in this thesis aims to provide various tools to be used during design process to ...
The main difference between an experimental study and the corresponding numerical simulation is that...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
Using Computational Fluid Dynamics (CFD) to predict a flow field is an approximation to the exact pr...
The largest and most difficult numerical approximation error to estimate is discretization error. Th...
The assessment of numerical uncertainty in CFD (Computational Fluid Dynamics) relies on the estimati...
The concept of Richardson extrapolation is evaluated for improving the solution accuracy of two well...
While Computational Fluid Dynamics (CFD) is making extensive use of the power of computational techn...
Numerical simulation has now become an integral part of engineering design process. Critical design ...
Due to high performance of modern computers, Uncertainty Quantification is becoming an important par...
The present paper addresses the question: ``What are the general classes of uncertainty and error so...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
Computational Fluid Dynamics (CFD) is the standard numerical tool used by Fluid Dynamists to estimat...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Some unresolved problems related to Richardson extrapolation (RE) are elucidated via examples, and p...
The work presented in this thesis aims to provide various tools to be used during design process to ...
The main difference between an experimental study and the corresponding numerical simulation is that...