A vortex particle method for smoke, water and explosions

Abstract

Figure 1: Vortex particles seeded at the inflow (left) create turbulence in water flowing from left to right. The top and bottom show lower and higher amounts of particle induced vorticity. (320 × 128 × 320 effective resolution octree grid, approximately 600 vortex particles) AbstractVorticity confinement reintroduces the small scale detail lost when using efficient semi-Lagrangian schemes for simulating smoke and fire. However, it only amplifies the existing vorticity, and thus can be insufficient for highly turbulent effects such as explosions or rough water. We introduce a new hybrid technique that makes synergistic use of Lagrangian vortex particle methods and Eulerian grid based methods to overcome the weaknesses of both. Our approach uses vorticity confinement itself to couple these two methods together. We demonstrate that this approach can generate highly turbulent effects unachievable by standard grid based methods, and show applications to smoke, water and explosion simulations.

View-Dependent Multiscale Fluid Simulation

“…[4] introduced artificial divergence sources to simulate gas explosion. [5] introduced vortex particles to add the vorticity more accurately. [6] introduced FLIP to overcome advection dissipation.…”

“…[15], [16], [17], [18], [19] simulated the fluid on a low-resolution grid to obtain the macro-scale flow, which was then combined with the artificial divergence-free velocity fields to mimic the turbulent flow at the micro scale. Instead of adding noise, [20] used the vortex particle method [5] to directly generate a high-resolution turbulent flow, and [13] synthesized the 3D velocity field from 2D slices. These synthesis methods do not perform highresolution computation on the Navier-Stokes equations, and instead attempt to produce plausible results using artificial means.…”

An Efficient Hybrid Method for Animating the Growth of Large-Scale Cumulus-Type Cloud

“…To create an animation of realistic cloud formation with continuous growth effects, a simulation method that calculates the motions of all cloud particles in the whole simulation space together by a physical fluid simulation such as SPH method [13] or Fedkiw method [5,26] is desirable. However, such a method is still computationally expensive.…”

“…The other is to use a mathematical-based procedural method, which approximates a natural phenomenon as a mathematical model. When it comes to gaseous or fluid phenomena, various physical-based simulation methods have been proposed to produce realistic animations [2,3,5,10,11,12,14,23,24,26]. However, in general, such simulation methods Figure 1.…”

“…The other is particle-based methods, which use particles to represent fluid and calculate the motion of the particles. In particular, particle-based methods have the great advantage that the fluid can change the topology of its shape freely, which means the method can be applied to complex shapes and the boundaries of gaseous phenomena, such as flames [2], clouds [3], and smoke [5,23,26]. However, in order to simulate a large-scale phenomenon, enormous computational time and memory are requisite to compute the interactions between huge amounts of particles [10,11,14].…”