Maurizio Grasselli

2papers

2 Papers

NAJan 20, 2015
Discontinuous Galerkin approximation of linear parabolic problems with dynamic boundary conditions

Paola F. Antonietti, Maurizio Grasselli, Simone Stangalino et al.

In this paper we propose and analyze a Discontinuous Galerkin method for a linear parabolic problem with dynamic boundary conditions. We present the formulation and prove stability and optimal a priori error estimates for the fully discrete scheme. More precisely, using polynomials of degree $p\geq 1$ on meshes with granularity $h$ along with a backward Euler time-stepping scheme with time-step $Δt$, we prove that the fully-discrete solution is bounded by the data and it converges, in a suitable (mesh-dependent) energy norm, to the exact solution with optimal order $h^p + Δt$. The sharpness of the theoretical estimates are verified through several numerical experiments.

42.2NAApr 21
Singularities in phase separation models: a spectral element approach for the nonlocal Cahn-Hilliard equation

Andrés Miniguano-Trujillo, Andrea Poiatti, Maurizio Grasselli et al.

The nonlocal Cahn-Hilliard equation provides a natural extension of the classical model for phase separation by incorporating long-range interactions through a singular convolution kernel. While this formulation admits a rich existence and regularity theory, its numerical approximation remains challenging: discretisation of the nonlocal term leads to dense operators, and the singularity of the kernel requires special treatment in collocation-based schemes. In this work, we develop an efficient and error-controlled numerical framework for the nonlocal Cahn-Hilliard system with constant mobility, logarithmic potential, Newtonian interaction kernel, and no-flux boundary conditions. Our approach is based on a pseudospectral multishape method that accurately approximates the action of singular convolution operators. We present high-resolution numerical solutions for this nonlocal system of equations that can be achieved with limited computational resources.