12 research outputs found
Maximum-principle preserving space-time isogeometric analysis
In this work we propose a nonlinear stabilization technique for
convection-diffusion-reaction and pure transport problems discretized with
space-time isogeometric analysis. The stabilization is based on a
graph-theoretic artificial diffusion operator and a novel shock detector for
isogeometric analysis. Stabilization in time and space directions are performed
similarly, which allow us to use high-order discretizations in time without any
CFL-like condition. The method is proven to yield solutions that satisfy the
discrete maximum principle (DMP) unconditionally for arbitrary order. In
addition, the stabilization is linearity preserving in a space-time sense.
Moreover, the scheme is proven to be Lipschitz continuous ensuring that the
nonlinear problem is well-posed. Solving large problems using a space-time
discretization can become highly costly. Therefore, we also propose a
partitioned space-time scheme that allows us to select the length of every time
slab, and solve sequentially for every subdomain. As a result, the
computational cost is reduced while the stability and convergence properties of
the scheme remain unaltered. In addition, we propose a twice differentiable
version of the stabilization scheme, which enjoys the same stability properties
while the nonlinear convergence is significantly improved. Finally, the
proposed schemes are assessed with numerical experiments. In particular, we
considered steady and transient pure convection and convection-diffusion
problems in one and two dimensions