Відео

tf does this have anything to do with euclidian lmao

@@youtubehandlesux our reality exists in a dimension where the geometric space is a no-euclidian space, meanwhile our geometry math is euclidian, which means: it makes sense for a 3rd dimension being, our current geometric math doesn't make sense if u want to think about higher dimensions, so u have to use a no-euclidian geometric math

This.

CFD is physically accurate and is used for accurate simulation of rocket or plane aerodynamics. AFAIK a physically accurate particle solution would require the simulation of each individual air particle. The maths behind this solution could be trivially applied to a voxel grid, but it would reduce the accuracy of the interaction between the object and the air. The closer the mesh fits to the object, the better.

From reading the description, I don't think it's using geometry to simulate. But I can't put my finger on what it's doing exactly, it mentions a fluid solver though, so maybe it's a clever new way of meshing fluid data, presumably for accurate meshes with the lowest possible tris. I'm just a beginner with blender sims though, so i'm probably wrong.

Hey, I believe the benefit is just efficiency. As someone mentioned, both particle and grid based methods can become very expensive with finer and finer simulations. What adaptive meshing tries to do is create a fine mesh in more complicated flow areas while leaving less complex areas with larger meshes. This lets the simulation focus more time on the actually complicated behavior, and can speed up the simulation drastically by focusing less on unimportant areas.