Improved accuracy in regularization models of incompressible flow
via adaptive nonlinear filtering
November 30, 2011
3:00pm AH 106
Abstract
We study adaptive nonlinear filtering in regularization models for
incompressible, viscous Newtonian flow. The filtering radius is locally
adjusted so that resolved flow regions and coherent flow structures are
not `filtered-out', which is a common problem with these types of models.
A numerical method is proposed that is unconditionally stable with respect
to timestep, and decouples the problem so that the filtering becomes
linear at each timestep and is decoupled from the system. Several
numerical examples are given that demonstrate the effectiveness of the
method.
Webmaster University of Houston
---
Last modified: April 11 2016 - 18:14:43