A gradient discretisation method to analyse numerical schemes for non-linear variational inequalities, application to the seepage problem
This work offers a theoretical framework for analyzing numerical schemes for non-linear variational inequalities, benefiting researchers in numerical analysis and computational mechanics.
The paper provides a unified numerical analysis for non-linear variational inequalities using the gradient discretisation method, establishing convergence for various schemes including the hybrid mimetic mixed method, with numerical results showing accuracy on distorted meshes for the seepage problem.
Using the gradient discretisation method (GDM), we provide a complete and unified numerical analysis for non-linear variational inequalities (VIs) based on Leray--Lions operators and subject to non-homogeneous Dirichlet and Signorini boundary conditions. This analysis is proved to be easily extended to the obstacle and Bulkley models, which can be formulated as non-linear VIs. It also enables us to establish convergence results for many conforming and nonconforming numerical schemes included in the GDM, and not previously studied for these models. Our theoretical results are applied to the hybrid mimetic mixed method (HMM), a family of schemes that fit into the GDM. Numerical results are provided for HMM on the seepage model, and demonstrate that, even on distorted meshes, this method provides accurate results.