Real-time viscous thin films

Vantzos, Orestis; Raz, Saar; Ben‐Chen, Mirela

doi:10.1145/3272127.3275086

Cited by 10 publications

(4 citation statements)

References 25 publications

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“…Most research works focus on acceleration on a single GPU. Recently, there are research works using a single GPU to accelerate MPM solvers [Gao et al 2018], Finite Element Methods (FEM) solvers [Bernstein et al 2016;Wang and Yang 2016], Eulerian fluids solvers [Chentanez and Müller 2011;Cohen et al 2010], pure-Lagrangian fluid solvers [Amada et al 2004;Chen et al 2015;Goswami and Neyret 2017;Macklin et al 2014;Winchenbach et al 2016], thin-film solvers [Vantzos et al 2018], cloth solvers [Tang et al 2016[Tang et al , 2018Wang 2021;Wu et al 2020], and other hybrid Eulerian-Lagrangian solvers [Chentanez et al 2015;]. Additionally, Hu et al [2019a] proposed a framework where the user may write efficient simulation code on the GPU more easily.…”

Section: Gpu Based Real-time Physical Simulationmentioning

confidence: 99%

Principles towards Real-Time Simulation of Material Point Method on Modern GPUs

Fei¹,

Huang²,

Gao³

2021

Preprint

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Physics-based simulation has been actively employed in generating offline visual effects in the film and animation industry. However, the computations required for high-quality scenarios are generally immense, deterring its adoption in real-time applications, e.g., virtual production, avatar live-streaming, and cloud gaming. We summarize the principles that can accelerate the computation pipeline on single-GPU and multi-GPU platforms through extensive investigation and comprehension of modern GPU architecture. We further demonstrate the effectiveness of these principles by applying them to the material point method to build up our framework, which achieves 1.7×-8.6× speedup on a single GPU and 2.5×-14.8× on four GPUs compared to the state-of-the-art. Our pipeline is specifically designed for real-time applications (i.e., scenarios with small to medium particles) and achieves significant multi-GPU efficiency. We demonstrate our pipeline by simulating a snow scenario with 1.33M particles and a fountain scenario with 143K particles in real-time (on average, 68.5 and 55.9 frame-per-second, respectively) on four NVIDIA Tesla V100 GPUs interconnected with NVLinks.

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Section: Gpu Based Real-time Physical Simulationmentioning

confidence: 99%

Principles towards Real-Time Simulation of Material Point Method on Modern GPUs

Fei¹,

Huang²,

Gao³

2021

Preprint

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“…More recently, researchers in computer graphics derived discrete governing equations for viscous film dynamics [Azencot et al 2015b;Vantzos et al 2018]. Similar to mathematical models for soap film dynamics [Schwartz and Roy 1999], this method employs the "lubrication approximation" [Oron et al 1997;Reynolds 1886] which reduces the dimensionality of the Navier-Stokes equations based on a small length-scale assumption.…”

Section: Thin Film Simulationmentioning

confidence: 99%

A model for soap film dynamics with evolving thickness

Ishida

Synak

Narita³

et al. 2020

ACM Trans. Graph.

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Previous research on animations of soap bubbles, films, and foams largely focuses on the motion and geometric shape of the bubble surface. These works neglect the evolution of the bubble's thickness, which is normally responsible for visual phenomena like surface vortices, Newton's interference patterns, capillary waves, and deformation-dependent rupturing of films in a foam. In this paper, we model these natural phenomena by introducing the film thickness as a reduced degree of freedom in the Navier-Stokes equations and deriving their equations of motion. We discretize the equations on a non-manifold triangle mesh surface and couple it to an existing bubble solver. In doing so, we also introduce an incompressible fluid solver for 2.5D films and a novel advection algorithm for convecting fields across non-manifold surface junctions. Our simulations enhance state-of-the-art bubble solvers with additional effects caused by convection, rippling, draining, and evaporation of the thin film.

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“…For centuries, researchers in fluid dynamics have considered models for depth-averaged flows [2009; 1995], such as shallow water equations (or Saint-Venant equations [1871]) for inertial fluid on planar boundaries, and lubrication theory [Oron et al 1997] for viscous fluids. These depth-averaged models are also extensively used in computer animation [Azencot et al 2015;Hinsinger et al 2002;Kass and Miller 1990;Vantzos et al 2017Vantzos et al , 2018Wang et al 2007]. Recently, Fei et al [2017] developed a reduceddimensional water model for (strictly Newtonian) liquid flowing on individual wet hairs.…”

Section: Simulating Liquid With Complex Rheologymentioning

confidence: 99%

A multi-scale model for coupling strands with shear-dependent liquid

et al. 2019

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Fig. 1. Left: A rotating brush splashing through thick oil paint. The inset shows a zoomed view of paint on the bristles. Middle: Melted chocolate poured onto a hair-covered cylinder that rotates to mimic the shaking behavior of mammals. Right: Soba noodles covered with oyster sauce pulled upwards by a fork.We propose a framework for simulating the complex dynamics of strands interacting with compressible, shear-dependent liquids, such as oil paint, mud, cream, melted chocolate, and pasta sauce. Our framework contains three main components: the strands modeled as discrete rods, the bulk liquid represented as a continuum (material point method), and a reduced-dimensional flow of liquid on the surface of the strands with detailed elastoviscoplastic behavior. These three components are tightly coupled together. To enable discrete strands interacting with continuum-based liquid, we develop models that account for the volume change of the liquid as it passes through strands and the momentum exchange between the strands and the liquid. We also develop an extended constraint-based collision handling method that supports cohesion between strands. Furthermore, we present a principled method to preserve the total momentum of a strand and its surface flow, as well as an analytic plastic flow approach for Herschel-Bulkley fluid that enables stable semi-implicit integration at larger time steps. We explore a series of challenging scenarios, involving splashing, shaking, and agitating the liquid which causes the strands to stick together and become entangled.

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Real-time viscous thin films

Cited by 10 publications

References 25 publications

Principles towards Real-Time Simulation of Material Point Method on Modern GPUs

Principles towards Real-Time Simulation of Material Point Method on Modern GPUs

A model for soap film dynamics with evolving thickness

A multi-scale model for coupling strands with shear-dependent liquid

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