Fluid simulation using particles involves complex calculations to model the behavior of fluids. The key equations typically include the Navier-Stokes equations, which describe fluid motion, and the particle update methods that determine how particles move over time based on forces acting on them. The computational intensity of these simulations can be significant, especially when calculating each time step, as the interactions between particles must be considered.For a grid size of 100 x 100 x 10, performance on an average computer can vary depending on the specific implementation and optimizations used. Simulations without external geometry are generally less demanding, and techniques like the Marching Cubes algorithm can be useful for visualizing fluid surfaces in such cases. Resources and demos available online can provide practical insights into implementing these simulations in environments like Blender, especially for those familiar with Python. The choice of simulation type—whether simple fluid-like behavior or more complex interactions with dynamic geometry—will greatly influence the computational requirements and methods used.
