Simulating SPH Fluid with Multi-Level Vorticity

Jang, Taekwon; Ribera, Roger Blanco i; Bae, Jinhyuk; Noh, Junyong

doi:10.20870/ijvr.2011.10.1.2797

Cited by 4 publications

(6 citation statements)

References 32 publications

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“…In addition, the idea of vorticity-based detail enhancement was also applied in SPH fluid simulation methods. [29][30][31] In this article, the vorticity loss in advection is used to define a loss factor, and the loss are then compensated by an external confinement force that is adaptively adjusted by the loss factor.…”

Section: Vorticity-based Detail Enhancementmentioning

confidence: 99%

Compensating the vorticity loss during advection with an adaptive vorticity confinement force

Zhu

Cai

et al. 2020

Computer Animation & Virtual

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The advection step in grid-based fluid simulation is prone to numerical dissipation, which results in loss of detail. How to improve the advection accuracy to preserve more fluid details is still challenging. On the other hand, a common way to enhance smoke details is to use vorticity confinement. However, most of the previous methods simply used a fine-tuned scale factor ε to adjust the strength of the confinement force, which can only amplify existing vortex details and is easy to cause instability when ε is large. In this article, we proposed an adaptive vorticity confinement method, which does not suffer from the above problems, to compensate the vorticity loss during advection with little extra cost. The main idea is to first calculate a scale factor whose value depends on the vorticity loss during advection, and then use it to adaptively control the vorticity confinement force for vorticity compensation with high stability. The experiment results show the effectiveness and efficiency of our method.

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Section: Vorticity-based Detail Enhancementmentioning

confidence: 99%

Compensating the vorticity loss during advection with an adaptive vorticity confinement force

Zhu

Cai

et al. 2020

Computer Animation & Virtual

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“…In order to represent the turbulence of the lost water, the mass value is redistributed adaptively, but the total mass of the fluid is not changed by Equation (16)(17)(18)(19). In summary, while retaining the total mass of the fluid, it restores turbulence that has been lost only by local changes in the mass ratio.…”

Section: Synthesizing Turbulence Detailsmentioning

confidence: 99%

“…Thus, physics-based [5,[8][9][10][11], noise-based, and texture-based [12][13][14] methods have been proposed for use in fluid simulations. There are adaptive-grid and multigrid methods for turbulent flows around solid objects [15][16][17] and self-turbulent flows [18,19]. It is possible to temporarily model the generation and evolution of small-scale vortices using the Navier-Stokes equations locally with a higher grid resolution.…”

Section: Introductionmentioning

confidence: 99%

“…In computer graphics, most existing particle-based fluid methods have tried to capture the details on the free surfaces of water, e.g., self-turbulent flows generated by a strong vortex [12,13,18,19] and turbulent flows around an object [15][16][17]20]; in contrast, this paper focuses on synthesizing the missing turbulence details while still preserving the fluid sheets. Recently, methods have been investigated for conserving thin fluid sheets, which represent small-scale details [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Visual Simulation of Detailed Turbulent Water by Preserving the Thin Sheets of Fluid

Kim

et al. 2018

Symmetry

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When we perform particle-based water simulation, water particles are often increased dramatically because of particle splitting around breaking holes to maintain the thin fluid sheets. Because most of the existing approaches do not consider the volume of the water particles, the water particles must have a very low mass to satisfy the law of the conservation of mass. This phenomenon smears the motion of the water, which would otherwise result in splashing, thereby resulting in artifacts such as numerical dissipation. Thus, we propose a new fluid-implicit, particle-based framework for maintaining and representing the thin sheets and turbulent flows of water. After splitting the water particles, the proposed method uses the ghost density and ghost mass to redistribute the difference in mass based on the volume of the water particles. Next, small-scale turbulent flows are formed in local regions and transferred in a smooth manner to the global flow field. Our results show us the turbulence details as well as the thin sheets of water, thereby obtaining an aesthetically pleasing improvement compared with existing methods.

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“…Later, the method was employed in a variety of water simulations. Examples include fluid–fluid interactions , frothing bubbles , underwater bubbles , liquid–liquid mixtures , porous flow , interfaces between multiple fluids , and water turbulence . One drawback of the SPH solver for water simulation lies in the difficulty of enforcing incompressibility due to the use of stiff equations of state.…”

Section: Related Workmentioning

confidence: 99%

A geometric approach to animating thin surface features in smoothed particle hydrodynamics water

Jang

Noh

2014

Computer Animation & Virtual

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We propose a geometric approach to animating thin surface features of smoothed particle hydrodynamics-based water. Explicit interparticle connections are created among smoothed particle hydrodynamics particles to approximate the geometries of thin surfaces while addressing the issue of unresolved surface areas. The deformations measured on the connections actuate the animations of the surfaces by disconnecting the stretched and bent connections. The reconstruction of thin surfaces and the accuracy of the animation are improved by adding auxiliary particles over the connections via Poisson-disk sampling.

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Simulating SPH Fluid with Multi-Level Vorticity

Cited by 4 publications

References 32 publications

Compensating the vorticity loss during advection with an adaptive vorticity confinement force

Compensating the vorticity loss during advection with an adaptive vorticity confinement force

Visual Simulation of Detailed Turbulent Water by Preserving the Thin Sheets of Fluid

A geometric approach to animating thin surface features in smoothed particle hydrodynamics water

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