Automatic grid adaptation and error evaluation for unstructured finite volumes

Michel Visonneau

Description

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

Sujets

• École centrale

Informations

• Publié par: pefav
• Nombre de lectures: 23
• Langue: English
• Poids de l'ouvrage: 7 Mo

Extrait

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