Purdue School of Engineering and Technology

Purdue School of Engineering and Technology

Computational Modeling of Turbulence

ME 60101 / 3 Cr. (3 Class)

This course consists of three parts: (i) turbulence principles including turbulence concepts, statistical description, and Kolmogorov hypothesis; (ii) major modeling concepts and formulations such as direct numerical simulation (DNS), large eddy numerical simulation (LES), and Reynolds averaged Navier-stokes simulation (RANS); (iii) Projects related to DNS/LES/RANS of turbulence with applications in environment, industry, and biomechanics.


Primary Track: Fluid & Thermal Sciences


Turbulent Flows, Pope, McGraw-Hill, any edition is acceptable

  • Build up a sound background in the mathematical, physical, and statistical description of turbulence
  • Apply Komogorov theory to quantitatively predict turbulence scales   
  • Derive governing equations for kinetic energy, vorticity, pressure, etc. from Navier-Stokes equation and apply them to non-complicated turbulence
  • Apply major modeling tools to turbulence computation at different Re numbers.
  • Numerically analyze turbulence properties for decaying isotropic turbulence with and without rotation, turbulent rectangular jets, biological flows in the presence of turbulence etc. through provided computation output data
  • Introduction to turbulence
  • CFD tools
  • Ansys-Fluent
  • Statistical description of Turbulence
  • Scales of turbulence motion
  • Mean and filtered equations
  • Direct numerical simulation of turbulence
  • LES modeling