Deep dives into computational fluid dynamics, turbulence modelling, and numerical methods — written for engineers and researchers who want to understand the why, not just the how.
“When I meet God, I am going to ask him two questions: why relativity? And why turbulence? I really believe he will have an answer for the first.”
— Werner Heisenberg
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 isn’t a neural network…
The 0.5% efficiency gain—the margin that justified a revolution—wasn’t a calculation error. It was a philosophical trap, hidden in the boundary conditions of a…
The “0.001 Second” difference—the blink of an eye that separates the front row from the midfield—is not found on the track. It is found…
This article examines the validation of planar turbulent jet simulations, highlighting how key metrics like jet spreading and decay laws align with direct numerical…
Okay, real talk for a minute. Last month, I almost submitted a paper with results that were mathematically beautiful and physically impossible. My pressure-based solver…
The “collide-and-stream” algorithm seemed too simple to be revolutionary. In 1998, when Exa Corporation first commercialized the Lattice-Boltzmann Method (LBM), traditional CFD engineers dismissed it…
I was simulating vortex shedding behind a cylinder at Re = 100. My explicit compressible solver gave plausible results at Δt = 1e-5 seconds,…
“When I meet God, I am going to ask him two questions: why relativity? And why turbulence? I really believe he will have an answer for the first.” — Werner Heisenberg
I’m a Mechanical Engineering student with a deep fascination for the chaotic beauty of fluid mechanics and turbulence. Through Turbulent Thoughts, I break down complex CFD concepts into clear, honest writing.
Whether you’re just discovering Reynolds numbers or deep in RANS closure problems — there’s something here for you.
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