A posteriori error estimates for the Stokes problem with singular sources
Provides rigorous error control for Stokes flow simulations with singular sources, enabling adaptive mesh refinement for non-convex domains.
The paper develops a posteriori error estimators for finite element approximations of the Stokes problem with singular sources, proving reliability and local efficiency, and demonstrates optimal convergence rates in numerical examples.
We propose a posteriori error estimators for classical low-order inf-sup stable and stabilized finite element approximations of the Stokes problem with singular sources in two and three dimensional Lipschitz, but not necessarily convex, polytopal domains. The designed error estimators are proven to be reliable and locally efficient. On the basis of these estimators we design a simple adaptive strategy that yields optimal rates of convergence for the numerical examples that we perform.