Some simple examples:
Seaplane Water Simulation: https://www.youtube.com/watch?v=R9TZNiZYhq0
Some nice features: https://www.youtube.com/watch?v=PuS1zD6kCyc
Made with realflow: https://www.youtube.com/watch?v=nnv-95w1d5A
Some simple examples:
Seaplane Water Simulation: https://www.youtube.com/watch?v=R9TZNiZYhq0
Some nice features: https://www.youtube.com/watch?v=PuS1zD6kCyc
Made with realflow: https://www.youtube.com/watch?v=nnv-95w1d5A
In contrast, mesh-based (and grid-based like in the article) simulators approximate the Navier-Stokes equations and converge to the exact solution as the mesh element sizes approach zero.
Mesh-based simulators solve a global system of equations in every frame. This system has variables equal in number to total mesh elements over the entire domain. Solving such a large system (especially in 3D) is very expensive. Furthermore, the size and shape of the mesh elements drastically affect the numerical stability of the solution, and generating good meshes is not a solved problem in all cases. For these reasons, we really only use mesh-based simulators when we need a high-degree of scientific accuracy.
Do you have some references for this? I was under the impression that convergence results have been shown for purely Lagrangian approaches like SPH.
Depends on what you mean by "particle-based". Lattice Boltzmann models, given specific constraints, can be easily shown to converge to the Navier-Stokes (and, if desired, even higher order fluid dynamics models) equations via the Chapman-Enskog expansion.
(Maybe there's another Navier-Stokes solution with the same initial conditions, maybe it's unique, doesn't matter!)