Fast SPH simulation for gaseous fluids

Ren, Bo; Yan, Xiao; Yang, Tao; Li, Chenfeng; Hu, Shi‐Min

doi:10.1007/s00371-015-1086-y

Cited by 15 publications

(8 citation statements)

References 23 publications

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“…where k diff denotes the diffusion coefficient. After the humidity diffusion, we can calculate the dew point of each particle via Equations (4) and (5). The dynamic dew point T dp is calculated during simulation according to AugustŮRoche-Magnus approximate estimation 20 under standard atmospheric as:…”

Section: Air-liquid Phase Transitionmentioning

confidence: 99%

“…Mihalef et al 2 proposed a physics‐based Eulerian method to simulate boiling, augmented with variable temperature field and a mass transfer mechanism. Recently, Ren et al 5 introduced a fast SPH model to capture boiling and evaporation by removing ambient air. Hochstetter and Kolb 3 further proposed a hybrid mass‐preserving method by coupling grid based air with SPH‐based liquid, where evaporation is simulated by transferring mass from particles and textures to a coarse Eulerian grid.…”

Section: Related Workmentioning

confidence: 99%

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An advanced hybrid smoothed particle hydrodynamics–fluid implicit particle method on adaptive grid for condensation simulation

Shi

Wang

et al. 2020

Computer Animation & Virtual

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In this article, we propose a novel hybrid framework by combining smoothed particle hydrodynamics and adaptive narrow band fluid implicit particle method (NB-FLIP) to faithfully model the multiphysical processes involving heat transfer and phase transition, and to precisely simulate the dynamics of condensed droplets moving along intricate objects. We first formulate a governing physical model built upon an improved phase transition model and an augmented on-surface drop analysis method to achieve realistic condensation effects over intricate hydrophilic/hydrophobic interface. To achieve both high-fidelity interactions and high-resolution visual effects, we further develop an adaptive NB-FLIP solver with octree-dictated background grid in order to further enhance the performance of our framework. Experimental results have shown that our approach can be used to efficiently and realistically simulate the small-scale interaction details between condensed drops and complex objects with arbitrary geometry.

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Section: Air-liquid Phase Transitionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An advanced hybrid smoothed particle hydrodynamics–fluid implicit particle method on adaptive grid for condensation simulation

Shi

Wang

et al. 2020

Computer Animation & Virtual

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show abstract

“…Difficulties in the creation of an efficient method for fluid dynamics arise from the difference of appearances of animation which can be obtained bubbles, fluid-solid interaction, multi-phase interface, viscoelastic object et al [7][8][9][10][11].…”

Section: Related Workmentioning

confidence: 99%

A fast framework construction and visualization method for particle-based fluid

Zhang

Wang

Chang

et al. 2017

J Image Video Proc.

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Fast and vivid fluid simulation and visualization is a challenge topic of study in recent years. Particle-based simulation method has been widely used in the art animation modeling and multimedia field. However, the requirements of huge numerical calculation and high quality of visualization usually result in a poor computing efficiency. In this work, in order to improve those issues, we present a fast framework for 3D fluid fast constructing and visualization which parallelizes the fluid algorithm based on the GPU computing framework and designs a direct surface visualization method for particle-based fluid data such as WCSPH, IISPH, and PCISPH. Considering on conventional polygonization or adaptive mesh methods may incur high computing costs and detail losses, an improved particle-based method is provided for real-time fluid surface rendering with the screen-space technology and the utilities of the modern graphics hardware to achieve the high performance rendering; meanwhile, it effectively protects fluid details. Furthermore, to realize the fast construction of scenes, an optimized design of parallel framework and interface is also discussed in our paper. Our method is convenient to enforce, and the results demonstrate a significant improvement in the performance and efficiency by being compared with several examples.

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“…Dependent on viscosity type, SPH can achieve good simulation results in highly viscous flow (like jet buckling [13], sand [55] and [10]) and inviscid flow [12]. Based on simulation scenarios, SPH can also be used to simulate gas [35], smoke [33] and bubbles [39]. There are tremendous applications and progress involved in SPH.…”

Section: Related Workmentioning

confidence: 99%

Analysis Enhanced Particle-based Flow Visualization

Shi¹,

Zhang²,

Cao³

et al. 2017

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Particle-based fluid simulation (PFS), such as Smoothed Particle Hydrodynamics (SPH) and Position-based Fluid (PBF), is a mesh-free method that has been widely used in various fields, including astrophysics, mechanical engineering, and biomedical engineering for the study of liquid behaviors under different circumstances. Due to its meshless nature, most analysis techniques that are developed for mesh-based data need to be adapted for the analysis of PFS data. In this work, we study a number of flow analysis techniques and their extension for PFS data analysis, including the FTLE approach, Jacobian analysis, and an attribute accumlation framework. In particular, we apply these analysis techniques to free surface fluids. We demonstrate that these analyses can reveal some interesting underlying flow patterns that would be hard to see otherwise via a number of PFS simulated flows with different parameters and boundary settings. In addition, we point out that an in-situ analysis framework that performs these analyses can potentially be used to guide the adaptive PFS to allocate the computation and storage power to the regions of interest during the simulation.

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Fast SPH simulation for gaseous fluids

Cited by 15 publications

References 23 publications

An advanced hybrid smoothed particle hydrodynamics–fluid implicit particle method on adaptive grid for condensation simulation

An advanced hybrid smoothed particle hydrodynamics–fluid implicit particle method on adaptive grid for condensation simulation

A fast framework construction and visualization method for particle-based fluid

Analysis Enhanced Particle-based Flow Visualization

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