Fluid · Sports & Wearables
GPU-Accelerated Turbulence Modeling (RANS/LES) for Sports & Wearables
Apply the gpu-accelerated turbulence modeling (rans/les) to real sports & wearables problems — in the browser, with AI assistance.
This is the gpu-accelerated variant of the Turbulence Modeling (RANS/LES). RANS averages the flow and models turbulence, while LES resolves large eddies and models the small ones — trading cost for fidelity.
In sports & wearables, teams face challenges like aerodynamics, comfort and fit, battery life. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as cycling aerodynamics, fabric drape, wearable thermal design, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Sports & Wearables use cases
- Cycling aerodynamics
- Fabric drape
- Wearable thermal design
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