Physically based visual simulation of the Lattice Boltzmann method on the GPU: a survey

Navarro-Hinojosa, Octavio; Ruiz-Loza, Sergio; Alencastre-Miranda, Moisés

doi:10.1007/s11227-018-2392-8

Cited by 17 publications

(6 citation statements)

References 83 publications

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“…Fluid simulation is traditionally a heavy computational task, leading to various challenges for controlling the initial conditions and the forces during the simulation, especially in Computer Graphics applications where the fluids should be easily directable by an artist. In recent years, GPUs have become an important tool for more efficient computations in many applications, including in fluid simulation [Goswami et al 2010;Harris 2005;Navarro-Hinojosa et al 2018]. Furthermore, such interactive fluid simulations can now run on mobile devices [Harwood and Revell 2018], enabling the user to control the simulation in real-time, for instance via the touch interface, [Chen et al 2015;Stuyck et al 2017].…”

Section: Related Workmentioning

confidence: 99%

Real-time viscous thin films

2018

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We propose a novel discrete scheme for simulating viscous thin films at real-time frame rates. Our scheme is based on a new formulation of the gradient flow approach, that leads to a discretization based on local stencils that are easily computable on the GPU. Our approach has physical fidelity, as the total mass is guaranteed to be preserved, an appropriate discrete energy is controlled, and the film height is guaranteed to be non-negative at all times. In addition, and unlike all existing methods for thin films simulation, it is fast enough to allow realtime interaction with the flow, for designing initial conditions and controlling the forces during the simulation.

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Section: Related Workmentioning

confidence: 99%

Real-time viscous thin films

2018

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“…Palabos [17], and Sailfish [18], even aim to brace the forthcoming Exascale supercomputing [19]. Review articles on LB simulation using GPUs can be found by Navarro-Hinojosa et al [20], Niemeyer and Sung [21].…”

Section: Introductionmentioning

confidence: 99%

Multi-GPU thermal lattice Boltzmann simulations using OpenACC and MPI

Li²

2023

International Journal of Heat and Mass Transfer

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“…It has been well known that the LBM is a versatile and highly parallel approach as the discrete Boltzmann transport equation is solved in the velocity (or moment) space to obtain the time-dependent fluid velocity distributions. Due to the intrinsic parallel nature, the implementation of LBM on graphics processing units (GPUs) has become increasingly popular [33,34]. Vanka group [35,36] was among the early groups to study the GPU acceleration for simulating complex flows including turbulence and multiphase flow.…”

Section: Introductionmentioning

confidence: 99%

General power-law temporal scaling for unequal-size microbubble coalescence

Chen

Zeng

et al. 2020

Phys. Rev. E

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We systematically study the effects of liquid viscosity, liquid density, and surface tension on global microbubble coalescence using lattice Boltzmann simulation. The liquid-gas system is characterized by Ohnesorge number Oh ≡ η h / √ ρ h σ r F with η h , ρ h , σ , and r F being viscosity and density of liquid, surface tension, and the radius of the larger parent bubble, respectively. This study focuses on the microbubble coalescence without oscillation in an Oh range between 0.5 and 1.0. The global coalescence time is defined as the time period from initially two parent bubbles touching to finally one child bubble when its half-vertical axis reaches above 99% of the bubble radius. Comprehensive graphics processing unit parallelization, convergence check, and validation are carried out to ensure the physical accuracy and computational efficiency. From 138 simulations of 23 cases, we derive and validate a general power-law temporal scaling T * = A 0 γ −n , that correlates the normalized global coalescence time (T *) with size inequality (γ) of initial parent bubbles. We found that the prefactor A 0 is linear to Oh in the full considered Oh range, whereas the power index n is linear to Oh when Oh < 0.66 and remains constant when Oh > 0.66. The physical insights of the coalescence behavior are explored. Such a general temporal scaling of global microbubble coalescence on size inequality may provide useful guidance for the design, development, and optimization of microfluidic systems for various applications.

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Physically based visual simulation of the Lattice Boltzmann method on the GPU: a survey

Cited by 17 publications

References 83 publications

Real-time viscous thin films

Real-time viscous thin films

Multi-GPU thermal lattice Boltzmann simulations using OpenACC and MPI

General power-law temporal scaling for unequal-size microbubble coalescence

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