Fast Particle‐based Visual Simulation of Ice Melting

Iwasaki, Kei; Uchida, Hiroaki; Dobashi, Yoshinori; Nishita, Tomoyuki

doi:10.1111/j.1467-8659.2010.01810.x

Cited by 44 publications

(38 citation statements)

References 26 publications

(35 reference statements)

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“…Unified particle model were also proposed by [19,35] to animate fluid-solid interactions. Recently, more complicated fluid behaviors are simulated, such as water flowing through a porous deformable material [20], interactions between fluids and granular materials [21,34], small bubbles in the multiphase flows [17], and visual simulation of ice melting [18].…”

Section: Applications Of Sph Methodsmentioning

confidence: 99%

High viscosity fluid simulation using particle-based method

Chang

Bao

Zhu

et al. 2011

2011 IEEE International Symposium on VR Innovation

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We present a new particle-based method for high viscosity fluid simulation. In the method, a new elastic stress term, which is derived from a modified form of the Hooke's law, is included in the traditional Navier-Stokes equation to simulate the movements of the high viscosity fluids. Benefiting from the Lagrangian nature of Smoothed Particle Hydrodynamics method, large flow deformation can be well handled easily and naturally. In addition, in order to eliminate the particle deficiency problem near the boundary, ghost particles are employed to enforce the solid boundary condition. Compared with Finite Element Methods with complicated and time-consuming remeshing operations, our method is much more straightforward to implement. Moreover, our method doesn't need to store and compare to an initial rest state. The experimental results show that the proposed method is effective and efficient to handle the movements of highly viscous flows, and a large variety of different kinds of fluid behaviors can be well simulated by adjusting just one parameter.

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Section: Applications Of Sph Methodsmentioning

confidence: 99%

High viscosity fluid simulation using particle-based method

Chang

Bao

Zhu

et al. 2011

2011 IEEE International Symposium on VR Innovation

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show abstract

“…Iwasaki et al [82] present an ice melting simulation that can handle the flow of melt water and water droplets on the object's surface and also the breaking up of ice pieces by modelling the melting object and water using particles. In addition to this, their particle simulation runs on the GPU, making use of efficient parallel algorithms to speed up the particle dynamics.…”

Section: Particle and Point Based Point-basedmentioning

confidence: 99%

A survey on object deformation and decomposition in computer graphics

Frerichs

Vidler

Gatzidis

2015

Computers & Graphics

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“…[Stora et al 1999] varied viscosity with temperature to simulate lava flows. [Terzopoulos et al 1991;Teschner et al 2004;Zhao et al 2006;Losasso et al 2006a;Iwasaki et al 2010;Clausen et al 2013] model phase transition using a hard freezing temperature threshold. On the other hand, [Carlson et al 2002;Keiser et al 2005;Paiva et al 2006;Solenthaler et al 2007;Chang et al 2009;Paiva et al 2009;Dagenais et al 2012] define a more smoothed material property range in the phase transition region, perhaps to model the latent heat.…”

Section: Previous Workmentioning

confidence: 99%

“…[Paiva et al 2009] and [Paiva et al 2006] avoid the need for strain computation altogether instead using non-Newtonian modifications of fluid viscosity to achieve complex fluid effects useful in melting and solidifying. Other notable uses of SPH for melting effects include [Stora et al 1999] for lava flows, [Iwasaki et al 2010] and [Lii and Wong 2013] for melting ice and [Lenaerts and Dutre 2009] for the treatment of porous granular materials and water.…”

Section: Previous Workmentioning

confidence: 99%

Augmented MPM for phase-change and varied materials

et al. 2014

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Figure 1: Lava solidifying into pāhoehoe forms complex and attractive shapes. The lava emits light according to the blackbody spectrum corresponding to the simulated temperature. c Disney. AbstractIn this paper, we introduce a novel material point method for heat transport, melting and solidifying materials. This brings a wider range of material behaviors into reach of the already versatile material point method. This is in contrast to best-of-breed fluid, solid or rigid body solvers that are difficult to adapt to a wide range of materials. Extending the material point method requires several contributions. We introduce a dilational/deviatoric splitting of the constitutive model and show that an implicit treatment of the Eulerian evolution of the dilational part can be used to simulate arbitrarily incompressible materials. Furthermore, we show that this treatment reduces to a parabolic equation for moderate compressibility and an elliptic, Chorin-style projection at the incompressible limit. Since projections are naturally done on marker and cell (MAC) grids, we devise a staggered grid MPM method. Lastly, to generate varying material parameters, we adapt a heat-equation solver to a material point framework.

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Fast Particle‐based Visual Simulation of Ice Melting

Abstract: The visual simulation of natural phenomena has been widely studied. Although

Cited by 44 publications

References 26 publications

High viscosity fluid simulation using particle-based method

High viscosity fluid simulation using particle-based method

A survey on object deformation and decomposition in computer graphics

Augmented MPM for phase-change and varied materials

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