z-logo
open-access-imgOpen Access
Adjoint-Based, Three-Dimensional Error Prediction and Grid Adaptation
Author(s) -
Michael Park
Publication year - 2002
Publication title -
42nd aiaa fluid dynamics conference and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2002-3286
Subject(s) - airfoil , computational fluid dynamics , computer science , grid , lift (data mining) , mesh generation , algorithm , representation (politics) , drag , aerodynamics , computational complexity theory , euler equations , mathematics , mathematical optimization , lift to drag ratio , lift coefficient , finite element method , geometry , mathematical analysis , physics , reynolds number , law , aerospace engineering , structural engineering , mechanics , engineering , political science , data mining , thermodynamics , politics , turbulence
Engineering computational fluid dynamics analysis and design applications often focus on output functions, such as lift or drag. Errors in these output functions are generally unknown, and conservatively accurate solutions may be computed. Computable error estimates can offer the possibility to minimize computational work for a prescribed error tolerance. Such an estimate can be computed by solution of the flow equations and the linear adjoint problem for the functional of interest. The computational mesh can be modified to minimize the uncertainty of a computed error estimate. This robust mesh-adaptation procedure automatically terminates when the simulation is within a user-specified error tolerance. This procedure for estimation and adaptation to error in a functional is demonstrated for three-dimensional Euler problems. An adaptive mesh procedure that links to a CAD surface representation is demonstrated for wing, wing-body, and extruded high lift airfoil configurations. The error estimation and adaptation procedure yielded corrected functions that are as accurate as functions calculated on uniformly refined grids with many more grid points

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom