Spatially adaptive long-term semi-Lagrangian method for accurate velocity advection
Spatially adaptive long-term semi-Lagrangian method for accurate velocity advection作者机构:The University of Tokyo Tokyo Japan University of Waterloo Waterloo Canada. National Institute of Informatics Japan.
出 版 物:《Computational Visual Media》 (计算可视媒体(英文版))
年 卷 期:2018年第4卷第3期
页 面:223-230页
核心收录:
学科分类:0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程]
基 金:supported by NSERC (Grant RGPIN-04360-2014) JSPS KAKENHI (Grant 17H00752)
主 题:fluid simulation advection method ofcharacteristics spatially adaptive inte-gration interpolation error correction
摘 要:We introduce a new advection scheme for fluid *** main contribution is the use of long-term temporal changes in pressure to extend the commonly used semi-Lagrangian scheme further back along the time *** algorithm starts by tracing sample points along a trajectory following the velocity field backwards in time for many *** this backtracing process,the pressure gradient along the path is integrated to correct the velocity of the current time *** show that our method effectively suppresses numerical diffusion,retains small-scale vorticity,and provides better long-term kinetic energy preservation.