The Paper projects the meshless LSFD-U methodology as a Cartesian grid method. A point distribution obtained from a Cartesian grid is employed in a solution update, leading to an automated computational fluid dynamics process for point adaptation. An estimate of the local truncation error obtained as a higher-order residual is employed for effecting a solution-based point adaptation. Asalient aspect of this methodology is the definition of a local length scale derived from an estimate of the truncation error, which not only provides a criterion for local refinement or coarsening but also can help in evolving an automatic termination criterion for the adaptive cycle. Toward point adaptation for flows with discontinuities, a hybrid adaptive s...
AbstractApproximate solutions of a partial differential equation become inaccurate if they arecomput...
This thesis deals with the development of a new adaptive algorithm for three-dimensional fluid flows...
Abstract. The optimal incremental function approximation method is implemented for the adaptive and ...
Algorithms for adaptive mesh refinement using a residual error estimator are proposed for fluid flow...
An unstructured grid adaptation technique has been developed and successfully applied to several thr...
Adaptation is an important tool in modern computational fluid dynamics software, which can reduce th...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90694/1/AIAA-2011-3696-676.pd
This paper may be considered as a sequel to one of our earlier works pertaining to the development o...
This paper presents an error estimation and grid adaptive strategy for estimating and reducing simu...
PhDThe adjoint method in computational fluid dynamics (CFD) made shape optimisation affordable. Howe...
This paper examines different approaches for driving mesh adaptation and provides theoretical develo...
A residual-based strategy to estimate the local truncation error in a finite volume framework for st...
The accuracy of a fluid flow simulation depends not only on the numerical method used for discretizi...
Abstract. A new grid adaptation strategy, which minimizes the truncation error of a pth-order finite...
This thesis advances the meshless Sequentially Optimized Meshfree Approximation (SOMA) from a fixed ...
AbstractApproximate solutions of a partial differential equation become inaccurate if they arecomput...
This thesis deals with the development of a new adaptive algorithm for three-dimensional fluid flows...
Abstract. The optimal incremental function approximation method is implemented for the adaptive and ...
Algorithms for adaptive mesh refinement using a residual error estimator are proposed for fluid flow...
An unstructured grid adaptation technique has been developed and successfully applied to several thr...
Adaptation is an important tool in modern computational fluid dynamics software, which can reduce th...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90694/1/AIAA-2011-3696-676.pd
This paper may be considered as a sequel to one of our earlier works pertaining to the development o...
This paper presents an error estimation and grid adaptive strategy for estimating and reducing simu...
PhDThe adjoint method in computational fluid dynamics (CFD) made shape optimisation affordable. Howe...
This paper examines different approaches for driving mesh adaptation and provides theoretical develo...
A residual-based strategy to estimate the local truncation error in a finite volume framework for st...
The accuracy of a fluid flow simulation depends not only on the numerical method used for discretizi...
Abstract. A new grid adaptation strategy, which minimizes the truncation error of a pth-order finite...
This thesis advances the meshless Sequentially Optimized Meshfree Approximation (SOMA) from a fixed ...
AbstractApproximate solutions of a partial differential equation become inaccurate if they arecomput...
This thesis deals with the development of a new adaptive algorithm for three-dimensional fluid flows...
Abstract. The optimal incremental function approximation method is implemented for the adaptive and ...