Improved Spattering of Fluid Particles Based on Predictive Correction of Incompressible SPH
Fluid splashing is the most common fluid phenomenon in nature.Fluid modeling is an important branch of computer graphics.Fluid simulation has been widely used in film,games,and other industrial numerical fields.Because the density and pressure of the fluid in the splash scene vary largely,the simulation requires high accuracy of discrete solution.For the unstable and lack of real effect of fluid particle splash simulation,we propose an improved Poisson pressure solution method based on particle surface fluid splash for the classical predictive correction of incompressible SPH(PCISPH),which improves the simulation accuracy by replacing the pressure source term.The experimental results show that the pressure distribution of the fluid in this method is closer to the realistic fluid particle splash simulation effect compared with the classical method,and the frame rate of the improved method still meets the requirements of real-time simulation effect after intense movement,which ensures good pressure stability and realism.We implement fluid simulation experiments using Anaconda3 to integrate Python3 and Taichi environments.
万方数据
维普
