Asynchronous Discrete Event Schemes for PDEs
This work provides a new self-adaptive, local-in-time-and-space numerical method for PDEs, which is particularly relevant for large-scale simulations in porous media flow applications.
The paper introduces asynchronous discrete-event simulation schemes for advection-diffusion-reaction equations, achieving first-order convergence of the solution error as a control parameter is decreased, demonstrated on realistic 3D porous media flow problems.
A new class of asynchronous discrete-event simulation schemes for advection-diffusion-reaction equations are introduced, which is based on the principle of allowing quanta of mass to pass through faces of a Cartesian finite volume grid. The timescales of these events are linked to the flux on the the face, and the schemes are self-adaptive, local in time and space. Experiments are performed on realistic physical systems related to porous media flow applications, including a large 3D advection diffusion equation and advection diffusion reaction systems. The results are compared to highly accurate results where the temporal evolution is computed with exponential integrator schemes using the same finite volume discretisation. This allows a reliable estimation of the solution error. Our results indicate a first order convergence of the error as a control parameter is decreased.