A deep dive into how turbulent flows are modelled in computational fluid dynamics — covering Reynolds-Averaged Navier-Stokes (RANS), the turbulence closure problem, two-equation models like k-ε and k-ω SST, Large Eddy Simulation (LES), Direct Numerical Simulation (DNS), and hybrid RANS/LES methods. Written for engineers who want to understand the assumptions behind the models they use.
There’s a quiet revolution happening at the intersection of machine learning and turbulence modelling, and it doesn’t look like what most people expect. It…
Traditional fluid dynamics often confuses vorticity with actual rotation, leading to inaccurate vortex identification. The Rortex method solves this by isolating rigid-body rotation from…
This article examines the validation of planar turbulent jet simulations, highlighting how key metrics like jet spreading and decay laws align with direct numerical…
How CFD Changed Aerodynamics Forever✈️ Imagine being an aircraft designer in the 1950s. You sketch a wing, build a scale model, and take it…