Dissipation-preserving discretization of the Cahn–Hilliard equation with dynamic boundary conditions

03/28/2022
by   R. Altmann, et al.
0

This paper deals with time stepping schemes for the Cahn–Hilliard equation with three different types of dynamic boundary conditions. The proposed schemes of first and second order are mass-conservative and energy-dissipative and – as they are based on a formulation as a coupled system of partial differential equations – allow different spatial discretizations in the bulk and on the boundary. The latter enables refinements on the boundary without an adaptation of the mesh in the interior of the domain. The resulting computational gain is illustrated in numerical experiments.

READ FULL TEXT

page 8

page 13

research
08/18/2021

Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions

This paper studies bulk-surface splitting methods of first order for (se...
research
02/06/2023

A posteriori error estimation for parabolic problems with dynamic boundary conditions

This paper is concerned with adaptive mesh refinement strategies for the...
research
10/01/2020

Error Inhibiting Schemes for Initial Boundary Value Heat Equation

In this paper, we elaborate the analysis of some of the schemes which we...
research
05/31/2021

Insights into the performance of loosely-coupled FSI schemes based on Robin boundary conditions

Robin boundary conditions are a natural consequence of employing Nitsche...
research
11/13/2021

An explicit predictor/multicorrector time marching with automatic adaptivity for finite-strain elastodynamics

We propose a time-adaptive predictor/multi-corrector method to solve hyp...
research
02/15/2023

Entropy-Production-Rate-Preserving Algorithms for Thermodynamically Consistent Nonisothermal Models of Incompressible Binary Fluids

We derive a thermodynamically consistent, non-isothermal, hydrodynamic m...
research
09/20/2018

Analysis of boundary effects on PDE-based sampling of Whittle-Matérn random fields

We consider the generation of samples of a mean-zero Gaussian random fie...

Please sign up or login with your details

Forgot password? Click here to reset