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Automatic grid adaptation and error evaluation for unstructured finite volumes

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Automatic grid refinement Monogrid Error Estimate Automatic grid adaptation and error estimation Michel VISONNEAU Fluid Mechanics Laboratory - CNRS UMR 6598 Ecole Centrale Nantes, Nantes, FRANCE Accuracy and uncertainty in flow simulation ONERA Symposium December 3, 2010 Michel VISONNEAU Automatic grid adaptation and error estimation

  • ecole centrale

  • automatic grid refinement

  • error estimates

  • monogrid error

  • onera symposium

  • flow simulation

  • automatic grid

  • main motivation


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Reads 23
Language English
Document size 7 MB
Automatic grid refinement Monogrid Error Estimate
Automatic
grid
adaptation
and error
Michel VISONNEAU
estimation
Fluid Mechanics Laboratory - CNRS UMR 6598 Ecole Centrale Nantes, Nantes, FRANCE
Accuracy and uncertainty in flow simulation ONERA Symposium December 3, 2010
Michel VISONNEAU
Automatic grid adaptation and error estimation
Outline
of
the
Automatic grid refinement Monogrid Error Estimate
presentation
Main motivations,
Automatic grid (de)refinement, refinement criteria,
2D monogrid error estimates,
Limitations and perspectives.
Michel VISONNEAU
Automatic grid adaptation and error estimation
Outline
of
the
Automatic grid refinement Monogrid Error Estimate
presentation
Main motivations,
Automatic grid (de)refinement, refinement criteria,
2D monogrid error estimates,
Limitations and perspectives.
Michel VISONNEAU
Automatic grid adaptation and error estimation
Outline
of
the
Automatic grid refinement Monogrid Error Estimate
presentation
Main motivations,
Automatic grid (de)refinement, refinement criteria,
2D monogrid error estimates,
Limitations and perspectives.
Michel VISONNEAU
Automatic grid adaptation and error estimation
Outline
of
the
Automatic grid refinement Monogrid Error Estimate
presentation
Main motivations,
Automatic grid (de)refinement, refinement criteria,
2D monogrid error estimates,
Limitations and perspectives.
Michel VISONNEAU
Automatic grid adaptation and error estimation
Automatic grid refinement Monogrid Error Estimate Main motivations
A non-exhaustive list of objectives To reduce the computational time by using more efficiently the available computational resources, To quantify and control the errors involved in a simulation To increase theaccuracyandefficiencyof numerical simulations, To obtain acceptable numerical errors near structures oflocalised flow phenomena, To capture: sharpfree-surface,bilge or tip vortices,flow behind propeller plane
To account for unsteady flow where theposition of the local features changes in time,
All these objectives are fulfilled if one introducesgrid adaptivitybased on a reliableerror estimate.
Michel VISONNEAU Automatic grid adaptation and error estimation
Automatic grid refinement Monogrid Error Estimate Main motivations
A non-exhaustive list of objectives To reduce the computational time by using more efficiently the available computational resources, To quantify and control the errors involved in a simulation To increase theaccuracyandefficiencyof numerical simulations, To obtain acceptable numerical errors near structures oflocalised flow phenomena, To capture: sharpfree-surface,bilge or tip vortices,flow behind propeller plane
To account for unsteady flow where theposition of the local features changes in time,
All these objectives are fulfilled if one introducesgrid adaptivitybased on a reliableerror estimate.
Michel VISONNEAU Automatic grid adaptation and error estimation
Automatic grid refinement Monogrid Error Estimate Main motivations
A non-exhaustive list of objectives To reduce the computational time by using more efficiently the available computational resources, To quantify and control the errors involved in a simulation To increase theaccuracyandefficiencyof numerical simulations, To obtain acceptable numerical errors near structures oflocalised flow phenomena, To capture: sharpfree-surface,bilge or tip vortices,flow behind propeller plane
To account for unsteady flow where theposition of the local features changes in time,
All these objectives are fulfilled if one introducesgrid adaptivitybased on a reliableerror estimate.
Michel VISONNEAU Automatic grid adaptation and error estimation
Automatic grid refinement Monogrid Error Estimate Main motivations
A non-exhaustive list of objectives To reduce the computational time by using more efficiently the available computational resources, To quantify and control the errors involved in a simulation To increase theaccuracyandefficiencyof numerical simulations, To obtain acceptable numerical errors near structures oflocalised flow phenomena, To capture: sharpfree-surface,bilge or tip vortices,flow behind propeller plane
To account for unsteady flow where theposition of the local features changes in time,
All these objectives are fulfilled if one introducesgrid adaptivitybased on a reliableerror estimate.
Michel VISONNEAU Automatic grid adaptation and error estimation