Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling

This paper presents a novel approach to simulating turbulent flows by developing an adaptive multirelaxation scheme in the framework of lattice Boltzmann equation (LBE). Existing LBE methods in graphics simulations are usually insufficient for turbulent flows since the collision term disturbs the un...

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Main Authors: Liu, Xiaopei, Pang, Wai-Man, Qin, Jing, Fu, Chi-Wing
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2016
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Online Access:https://hdl.handle.net/10356/81684
http://hdl.handle.net/10220/40928
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-816842020-05-28T07:41:34Z Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling Liu, Xiaopei Pang, Wai-Man Qin, Jing Fu, Chi-Wing School of Computer Engineering Turbulence simulation lattice Boltzmann models This paper presents a novel approach to simulating turbulent flows by developing an adaptive multirelaxation scheme in the framework of lattice Boltzmann equation (LBE). Existing LBE methods in graphics simulations are usually insufficient for turbulent flows since the collision term disturbs the underlying stability and accuracy. We adopt LBE with the multiple relaxation time (MRT) collision model (MRT-LBE), and address this issue by enhancing the collision-term modeling. First, we employ renormalization group analysis and formulate a new turbulence model with an adaptive correction method to compute more appropriate eddy viscosities on a uniform lattice structure. Efficient algebraic calculations are retained with small-scale turbulence details while maintaining the system stability. Second, we note that for MRT-LBE, predicting single eddy viscosity per lattice node may still result in instability. Hence, we simultaneously predict multiple eddy viscosities for stress-tensor-related elements, thereby asynchronously computing multiple relaxation parameters to further enhance the MRT-LBE stability. With these two new strategies, turbulent flows can be simulated with finer visual details even on coarse grid configurations. We demonstrate our results by simulating and visualizing various turbulent flows, particularly with smoke animations, where stable turbulent flows with high Reynolds numbers can be faithfully produced. ASTAR (Agency for Sci., Tech. and Research, S’pore) 2016-07-13T04:40:31Z 2019-12-06T14:36:03Z 2016-07-13T04:40:31Z 2019-12-06T14:36:03Z 2014 Journal Article Liu, X., Pang, W.-M., Qin, J., & Fu, C.-W. (2014). Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling. IEEE Transactions on Visualization and Computer Graphics, 20(2), 289-302. 1077-2626 https://hdl.handle.net/10356/81684 http://hdl.handle.net/10220/40928 10.1109/TVCG.2012.303 en IEEE Transactions on Visualization and Computer Graphics © 2014 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Turbulence simulation
lattice Boltzmann models
spellingShingle Turbulence simulation
lattice Boltzmann models
Liu, Xiaopei
Pang, Wai-Man
Qin, Jing
Fu, Chi-Wing
Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
description This paper presents a novel approach to simulating turbulent flows by developing an adaptive multirelaxation scheme in the framework of lattice Boltzmann equation (LBE). Existing LBE methods in graphics simulations are usually insufficient for turbulent flows since the collision term disturbs the underlying stability and accuracy. We adopt LBE with the multiple relaxation time (MRT) collision model (MRT-LBE), and address this issue by enhancing the collision-term modeling. First, we employ renormalization group analysis and formulate a new turbulence model with an adaptive correction method to compute more appropriate eddy viscosities on a uniform lattice structure. Efficient algebraic calculations are retained with small-scale turbulence details while maintaining the system stability. Second, we note that for MRT-LBE, predicting single eddy viscosity per lattice node may still result in instability. Hence, we simultaneously predict multiple eddy viscosities for stress-tensor-related elements, thereby asynchronously computing multiple relaxation parameters to further enhance the MRT-LBE stability. With these two new strategies, turbulent flows can be simulated with finer visual details even on coarse grid configurations. We demonstrate our results by simulating and visualizing various turbulent flows, particularly with smoke animations, where stable turbulent flows with high Reynolds numbers can be faithfully produced.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Liu, Xiaopei
Pang, Wai-Man
Qin, Jing
Fu, Chi-Wing
format Article
author Liu, Xiaopei
Pang, Wai-Man
Qin, Jing
Fu, Chi-Wing
author_sort Liu, Xiaopei
title Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
title_short Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
title_full Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
title_fullStr Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
title_full_unstemmed Turbulence Simulation by Adaptive Multi-Relaxation Lattice Boltzmann Modeling
title_sort turbulence simulation by adaptive multi-relaxation lattice boltzmann modeling
publishDate 2016
url https://hdl.handle.net/10356/81684
http://hdl.handle.net/10220/40928
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