Font Size: a A A

Acceleration And Controlling Strategy In Fluid Simulation

Posted on:2013-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:L Q WuFull Text:PDF
GTID:2268330392970616Subject:Computer applications
Abstract/Summary:PDF Full Text Request
Physically based simulation of fluids has been one of the most difficult topics incomputer graphic, as the complexity of fluid equations and time consuming to solve it.In addition, the control of fluid shape is still a difficult problem in computer graphic.In response to these issues, we mainly studied the acceleration and control algorithmbased on physics-based method in our paper.This paper presents a novel method for fast simulation of smoke based on gridmapping. First, we solve the fluid equations on coarse grids, and get thecorresponding data of mass density and map the the calculation results to fine gridsfor rendering. Then map the data from the fine grid to the coarse grid for the next gridcalculation cycle. Experiments show that this new method is stable and efficient. Itensures the continuity of the fluid and preserves details as well.We propose a novel method to control the local feature of fluid in2D fluidsimulation. Our method can make some local parts of the entire fluid scene havespecial characters which specified by animators. First, we search the whole fluidscene to find the local area where need to appear special characters mostly. Then, wesolve the fluid equations using the Euler-Grid method, at the same time add thespecial target force to the local area found in the first steps and mix the velocity fieldof the local area and its corresponding position in the global zone. At last, we use thevelocity field drive the fluid flow, and give a global control to the next calculationcycle.At last, according to the sampling control method between fine and coarse grids,we proposed an adaptive sampling method, which can enable animators producespecial fluid dynamics more conveniently.
Keywords/Search Tags:fluid simulation, kernel function, physically-base, fluidcontrol, adaptive sampling
PDF Full Text Request
Related items