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#CFD

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Hey folks, I have a friend who's a mechanical/civil engineer looking for CFD help modeling wind against a windy balcony. She's looking for a consultant:

"I have a client who has an extremely windy balcony. He wants to add wind screens but is unsure of the style and height and how far from the screen the wind will be directed. So basically we want a simulated wind model using a CAD drawing”

Let me know if that's your jam, I can hook you up.

Please boost!

How realistic can a #CFD simulation be? Here is a 1 billion cell #FluidX3D simulation of an impacting raindrop, fully raytraced in 8K. FluidX3D contains state-of-the-art volume-of-fluid and surface tension models for highly accurate free surface simulations. Combined with my own #OpenCL #raytracing engine, results are rendered on-the-fly at resolution as large as remaining #GPU VRAM can hold. 🖖😋💧📺
youtu.be/MmLNQIW_Sic
FluidX3D is on #GitHub: github.com/ProjectPhysX/FluidX

🚨 Are you a PhD student interested in software for #CFD and/or fluids data analytics? The NSF Fluid Dynamics Software Infrastructure (FDSI) team at CU Boulder has 10-week paid internships (with housing) for PhD students to conduct V&V for complex flows like the Common Research Model (CRM), wind turbine blades, and fundamentals like the "speed bump" geometry. This work will involve model/workflow intercomparison and validation using experiments.

colorado.edu/center/aerospacem

Continued thread

Last few days (deadline: January 18) for this call for an 18-month paid research internship (“assegno professionalizzante”) at #INGV #OsservatorioEtneo in #Catania to work on the modelling of plastic transport by water waves:

amministrazione-trasparente.in

Feel free to share it within and outside of the Fediverse, especially if you know people who are looking and may be interested.

Over the weekend I got to test #FluidX3D on the world's largest #HPC #GPU server, #GigaIOSuperNODE. Here is one of the largest #CFD simulations ever, the Concorde for 1 second at 300km/h landing speed. 40 *Billion* cells resolution. 33 hours runtime on 32 AMD Instinct #MI210 with a total 2TB VRAM.
youtu.be/clAqgNtySow

#LBM compute was 29 hours for 67k timesteps at 2976×8936×1489 (12.4mm)³ cells, plus 4h for rendering 5×600 4K frames.
🧵1/3

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I am personally fascinated by "adjoint optimization in CFD", e.g. people using autodiff on entire physical simulations to improve shapes of objects.

At the same time, it seems comparatively rarely used in industry, e.g. most design processes only perform forward simulation.

Does anyone here have an idea *why* that is? Boost for reach please...