Improved accuracy in regularization models of incompressible flow via adaptive nonlinear filtering


L. G. Rebholz, Department of Mathematical Sciences, Clemson University, Clemson SC 29634, USA.



We study the adaptive nonlinear filtering in the Leray regularization model 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 time step and decouples the problem so that the filtering becomes linear at each time step and is decoupled from the system. Several numerical examples are given that demonstrate the effectiveness of the method. Copyright © 2012 John Wiley & Sons, Ltd.