Welcome to the tutorial of the Advection problem using the Advection-Diffusion-Reaction (ADR) Solver in the Nektar++ framework. This tutorial is aimed to show the main features of the ADR solver in a simple manner. If you have not already downloaded and installed Nektar++, please do so by visiting nektar.info, where you can also find the User-Guide with the instructions to install the library.
This tutorial requires:
After the completion of this tutorial, you will be familiar with:
/usr/bin
. If
you compile from source they will be in the sub-directory dist/bin
of the build
directory you created in the Nektar++ source tree. We will refer to the directory
containing the executables as $NEK
for the remainder of the tutorial.
tar -xzvf basics-advection-diffusion.tar.gz
to produce a
directory basics-advection-diffusion
with subdirectories called tutorial
and
complete
.
We will refer to the tutorial
directory as $NEKTUTORIAL
.
The tutorial folder contains:
ADR_mesh.geo
;
ADR_mesh.msh
;
The ADR solver can solve various problems, including the unsteady advection, unsteady diffusion, unsteady advection diffusion equation, etc. For a more detailed description of this solver, please refer to the User-Guide.
In this tutorial we focus on the unsteady advection equation
| (1.1) |
where u is the independent variable and V = [VxVyVz] is the advection velocity. The unsteady advection equation can be solved in one, two and three spatial dimensions. We will here consider a two-dimensional problem, so that V = [VxVy].
The problem we want to run consists of a given initial condition (which depends on x and y) travelling in the x-direction at a constant advection velocity. To model this problem we create a computational domain also referred to as mesh or grid (see section 2.1) on which we apply the following two-dimensional function as initial condition and periodic as well as time-dependent Dirichlet boundary conditions at the mesh boundaries
| (1.2) |
where xb and yb represent the boundaries of the computational domain (see section 2.2), Vx = 2,Vy = 0 and κ = 2π.
We successively setup the other parameters of the problem, such as the time-step, the time-integration scheme, the I/O configuration, etc. (see section 2.2). We finally run the solver (see section 3) and post-process the data in order to visualise the results (see section 4).