Computational Christmas

Dec 13

Wind tunnel

Helmi stood in the sleigh workshop, arms crossed, staring at the old physical wind tunnel tucked into the corner. It was a relic of the past—power-hungry, expensive to run, and requiring hours just to set up a single test. Digital simulations had been considered, but with the complex aerodynamics of Santa’s sleigh, they would take months to process on even the fastest digital systems. “Not an option,” Helmi muttered, glancing at the clock. Christmas Eve wasn’t waiting for anyone.

Then Helmi’s eyes lit up. The analog supercomputer they had built earlier for weather simulations could be repurposed. Aerodynamics, after all, was just another flow problem. They quickly configured the system, feeding in parameters for airflows, sleigh shape, and reindeer velocity. The analog machine whirred to life, processing the complex equations in real time, with its dials, oscillators, and feedback circuits painting a clear picture of how the sleigh would perform in flight.

As data streamed in, Helmi made adjustments directly on the sleigh: smoothing edges, tweaking the runners, and reshaping the canopy for better drag reduction. Within hours, the sleigh’s aerodynamics were optimized, and Helmi leaned back with a satisfied grin. “Real-time simulation, no months of waiting, and no ridiculous energy costs. This sleigh is going to slice through the skies like a dream,” they said, patting the now-sleek design.

Helmi delved into the fascinating world of Computational Fluid Dynamics (CFD), a cornerstone of computational science and one of the earliest domains to harness the power of computers. Despite decades of advancements, CFD still grapples with unsolved scientific challenges and often lacks the processing power needed for high-resolution, real-time simulations of everyday phenomena. What makes CFD so captivating is how easy it is to take your first steps and create stunning visualizations or effects.

Can you use the simulator below to reproduce the phenomenon of vortex shedding? Give it a try and see what you can create!

Simulation Outcome This application runs only in modern browsers. For best results, use Google Chrome.
Simulation Steering
Flow speed = 0.100   Viscosity = 0.020
  Contrast:
Animation speed:   Steps per second: 0   Faster?
Show: Tracers Flowlines Force on barriers Sensor Data
Submission
Can you hand in a beautiful Vortex Shedding still frame? Tip: Pause the simulation before submitting.

Please register first, then you can hand in.

Credits: This fine simulation code is copyright by Dan Schroeder and originally available at https://physics.weber.edu/schroeder/fluids/, with a lots of material linked there.