dedaLES: Large Eddy simulation with dedalus!

This python package provides classes and functions for performing Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) of fluid flows using the dedalus framework for spectrally solving partial differential equations.

This code (and README) are a work in progress.

Installation

To use dedaLES, one must first install dedalus.

Then clone dedaLES:

git clone https://github.com/glwagner/dedaLES.git

Basic usage

Navigate to examples/ and do

mpiexec python basic_example.py

Documentation

• latest

Fluid models

• dedaLES.NavierStokesTriplyPeriodicFlow: triply-periodic 'pure' Navier-Stokes
• dedaLES.BoussinesqChannelFlow: Boussinesq flow in a channel (with optional rotation)

LES Closures

Currently implemented:

• constant Smagorinsky
• anisotropic minimum dissipation

Aspirational:

• modified constant Smagorinsky
• Dynamic Smagorinsky (wikipedia, Germano et al. 1991)
• Sullivan-McWilliams-Moeng (Sullivan et al. 1994)