IntroductionΒΆ

Generation of inflow boundary fields for scale-resolving simulations of fluid flow has received significant attention from the CFD community. A review of existing methods can be found in [TBA10] and [Jar08].

As correctly pointed out in [TBA10], in order to benchmark existing methods one would require to implement all of them in a single code. Typically, however, a small number of methods is implemented within the framework of a concrete solver. A solution to this problem is to create a solver-agnostic library which would implement various generation methods found in the literature. Eddylicious strives to become such a library.

In order to support a large variety of CFD solvers, all the inflow fields generated by eddylicious are saved to disk. The only requirement on the solver’s side is then to be able to read in boundary data from the hard-drive. Since different solvers support different formats for boundary data storage, eddylicious supports output in several different formats and can easily be extended to support more.

The fact that eddylicious is written in python implies that one is able to harness the power of all the well-developed libraries written for this language, such as numpy, scipy, h5py etc. This makes eddylicious a convenient tool for prototyping new inflow generation methods.

Interfacing with solvers via files also removes the necessity to consider solver-related issues, for instance geometry decomposition for parallel processing. This ensures that the code in eddylicious is free of clutter and makes it an ideal place for showcasing newly-developed methods and making them instantly available to the CFD community.

The package consists of the following components.

  • The source code of the library, which implements the available functionality. If you are interested in contributing to the library, take a look at the Developer guide. The Source code reference can be used as help when using the already existing modules and functions in your own code.
  • Executable python scripts that are used to drive the inflow field generation, see Inflow generation methods.
  • Utilities, which are also executable python scripts, that provide extra functionality, like computing statistical data or conversion between different file formats. See Utilities for more information.
  • Documentation, which includes this User guide, the Developer guide, and the Source code reference.
  • Tutorials which provide examples of how the package can be used.