Synthetic fluid details for the vorticity loss in advection
Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu
Abstract
Jian Zhu, Yu Luo, Xiaohua Ren, Ruichu Cai, Zhifeng Hao, Hanqiu Sun, Enhua Wu
Abstract
Abstract In this paper, a novel method with good numerical stability is proposed from the perspective of energy preserving to alleviate the numerical dissipations in the advection step of Eulerian fluid simulation. The main idea is to measure the vorticity loss during advection, calculate the lost angular kinetic energy with a proposed scheme, and then synthesize a high‐frequency incompressible details field to compensate the lost energy in a way that is consistent with Kolmogorov's theory, which prevents the synthetic details from interfering with the existing fluid flow. The method works independently of the advection scheme and can be easily combined with other advection schemes to enhance the effect. It adds only 5% to 10% of the computational overhead while producing convincing fluid details without changing the overall behavior of the original flow.
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Abstract In this paper, a novel method with good numerical stability is proposed from the perspective of energy preserving to alleviate the numerical dissipations in the advection step of Eulerian fluid simulation. The main idea is to measure the vorticity loss during advection, calculate the lost angular kinetic energy with a proposed scheme, and then synthesize a high‐frequency incompressible details field to compensate the lost energy in a way that is consistent with Kolmogorov's theory, which prevents the synthetic details from interfering with the existing fluid flow. The method works independently of the advection scheme and can be easily combined with other advection schemes to enhance the effect. It adds only 5% to 10% of the computational overhead while producing convincing fluid details without changing the overall behavior of the original flow.
Key concepts: Advection, Vorticity, Computer science, Fluid dynamics, Vorticity equation, Stability (learning theory), Flow (mathematics), Eulerian path