Free-flowing granular materials with two-way solid coupling

Narain, Rahul; Golas, Abhinav; Lin, Ming C.

doi:10.1145/1866158.1866195

Cited by 48 publications

(99 citation statements)

References 29 publications

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“…Within graphics research on granular simulation has largely focused upon continuum-based models [Zhu and Bridson 2005;Lenaerts and Dutré 2009;Narain et al 2010;Alduán and Otaduy 2011] that efficiently and convincingly capture the complex behaviors of granular flow. However, as noted by Narain et al [2010], these methods are unable to resolve the collisional behaviors of granular systems.…”

Section: Related Methods In Granular Simulationmentioning

confidence: 99%

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Reflections on simultaneous impact

et al. 2012

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Resolving simultaneous impacts is an open and significant problem in collision response modeling. Existing algorithms in this domain fail to fulfill at least one of five physical desiderata. To address this we present a simple generalized impact model motivated by both the successes and pitfalls of two popular approaches: pair-wise propagation and linear complementarity models. Our algorithm is the first to satisfy all identified desiderata, including simultaneously guaranteeing symmetry preservation, kinetic energy conservation, and allowing break-away. Furthermore, we address the associated problem of inelastic collapse, proposing a complementary generalized restitution model that eliminates this source of nontermination. We then consider the application of our models to the synchronous time-integration of large-scale assemblies of impacting rigid bodies. To enable such simulations we formulate a consistent frictional impact model that continues to satisfy the desiderata. Finally, we validate our proposed algorithm by correctly capturing the observed characteristics of physical experiments including the phenomenon of extended patterns in vertically oscillated granular materials.

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Section: Related Methods In Granular Simulationmentioning

confidence: 99%

“…However, as noted by Narain et al [2010], these methods are unable to resolve the collisional behaviors of granular systems.…”

Section: Related Methods In Granular Simulationmentioning

confidence: 99%

Reflections on simultaneous impact

et al. 2012

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“…Fluid simulation approaches have also successfully been adapted to simulate granular materials. A variety of paradigms have been used, such as fluid implicit particle (FLIP) [16,26] and smoothed particle hydrodynamics (SPH) [1,8,9]. Additionally, position-based dynamics [13] have been used by Macklin et al [10] to simulate sand.…”

Section: Related Workmentioning

confidence: 99%

“…While modeling static snow can be an easy task, simulating its interaction with characters and dynamic objects requires much more time and efforts to achieve a visually realistic look. Simulators available in current commercial software and state of the art simulation methods for snow and granular material [8,10,16,19,25] can simulate snow at a limited scale. They require a large amount of simulation data to generate realistic results even just at a moderate scale, which results in a large memory consumption and long computation times.…”

Section: Introductionmentioning

confidence: 99%

An efficient layered simulation workflow for snow imprints

2016

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This paper introduces a novel workflow to generate snow imprints, and model the interaction of snow with dynamic objects. We decoupled snow simulation into three components: a base layer, snow particles, and snow mist. The base layer consists of snow that has not been in contact with a dynamic object yet, and is stored as a level set. Snow particles model the interaction between the snow and the dynamic objects. They are added when the dynamic objects collide with the base layer, and are animated using an adapted granular material simulation. The very thin and powdery snow released by airborne snow particles is modeled by the snow mist. This component is greatly influenced by the surrounding air medium; thus, it is animated using a fluid simulation. This decomposition allows to focus memory expensive and time-consuming computations only where dynamic objects interact with the snow, which is much more efficient than relying on a full-scale simulation.

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“…It employed 3D texture-based volume rendering on the GPU to achieve efficient raycasting, and enabled high quality rendering results. With the idea of refining a coarse simulation for high quality rendering, researchers proposed to sample the simulation particles with a finer set of pseudo-random particles [Narain et al 2010]. With a specially designed refining method, flickering effects could be eliminated [Ihmsen et al 2012b].…”

Section: Related Workmentioning

confidence: 99%

Efficient fluids simulation and rendering on GPU

Huang

Zhu

2013

Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

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Interactive fluids simulation and rendering have been the pursuit for VR research. There are high demands for physically plausible fluids in virtual environments. In this paper, we present an efficient GPU-based simulation and rendering framework for large scale SPH fluids. A robust particle classification algorithm is introduced to classify particles into either active or inactive. And the proposed algorithm effectively reduces the computational burden in inactive areas where many particles with stable properties and low local pressure cluster together. At the same time the computation in active areas is fully carried out to preserve the realistic behaviour of fluids. Our time performance tests have shown that our algorithm has high capability in producing time efficiency fluid simulations. When integrated with the parallel HPMC method, we are able to put all the simulation and rendering on GPU, and produce plausible and interactive fluids for large scale virtual environments.

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Free-flowing granular materials with two-way solid coupling

Cited by 48 publications

References 29 publications

Reflections on simultaneous impact

Reflections on simultaneous impact

An efficient layered simulation workflow for snow imprints

Efficient fluids simulation and rendering on GPU

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