Adaptive Grid Refinement and Sensors for the Euler Equations

Numerical Grid Generation in Computational Field Simulations, Ed. M. Cross., B. K. Soni, J. F. Thompson, J. Hauser, P. R. Eiseman, Proceedings of the 6th International Conference, held at the University of Greenwich, pp.391-400, July 1998

MESHING
RESEARCH
CORNER

The Aeronautical Research Institute of Sweden
Box 11021, S-161 11 Bromma, Sweden
email: tll@ffa.se

Abstract
Adaptive computations have been done both for 2- and 3-dimensional cases with use of a gradient sensor. Several key-variables can be monitored simultaneously. The sensor indicates that only the key-variables with the largest gradients give a substantial contribution to the sensor, since the square of the gradients are added to form the sensor. The sensor gives directionally stretched grids. The grid generation is based on the advancing front method, whereas the adaptation strategy used is remeshing, where the entire grid is regenerated. The flow solver is based on finite volume discretization. Computations are shown for a NACA 0012 profile, the Aerospatiale A528G-wing and the JAS-39 Gripen fighter.