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.

To use dedaLES, one must first install dedalus.

Then clone dedaLES:

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

Navigate to examples/ and do

mpiexec python basic_example.py

• latest

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

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)