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Recovering Turbulence Details using Velocity Correction for SPH Fluids

Authors:

Cong WangAuthors Info & Claims

SA '19: SIGGRAPH Asia 2019 Technical Briefs

Pages 95 - 98

https://doi.org/10.1145/3355088.3365145

Published: 17 November 2019 Publication History

Abstract

In general, kinetic energy of water molecules at translational rotational degree of freedoms (DOFs) occupies the dominant position. However, coarse space discretization always results in severe numerical dissipation if only the linear kinetic energy is considered. Therefore, we proposed a novel turbulence refinement method using velocity correction for SPH simulation. In this method, surface details were enhanced by recovering the energy lost in DOFs for SPH particles. We used a free vortex model to convert particles’ diffused and stretched angular kinetic energy to its neighbours’ linear kinetic energy. Turbulence details would be efficiently generated using the shear between slices. Compared with previous methods, our method can generate turbulence and vortex more vividly and stably.

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Cited By

Cheng JLiu ZLiu TChai Y(2024)A Parallel Ice Melting Simulation Based on ParticleBiologically Inspired Cognitive Architectures 202310.1007/978-3-031-50381-8_23(197-207)Online publication date: 14-Feb-2024
https://doi.org/10.1007/978-3-031-50381-8_23
Liu ZXu YWang XBan XZheng Z(2021)Simulation and visualization of solid-liquid phase transition and interactive using particle-based method2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)10.1109/CCCI52664.2021.9583207(1-5)Online publication date: 15-Oct-2021
https://doi.org/10.1109/CCCI52664.2021.9583207
Liu SBan XZeng XZhao FGao YWu WZhang HChen FHall TGao XXu M(2020)A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulationBMC Bioinformatics10.1186/s12859-020-03660-w21:1Online publication date: 9-Sep-2020
https://doi.org/10.1186/s12859-020-03660-w
Show More Cited By

Index Terms

Recovering Turbulence Details using Velocity Correction for SPH Fluids
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Physical simulation
    2. Shape modeling
  2. Modeling and simulation
2. Mathematics of computing
  1. Continuous mathematics
    1. Topology
      1. Geometric topology

Index terms have been assigned to the content through auto-classification.

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Information

Published In

cover image ACM Conferences

SA '19: SIGGRAPH Asia 2019 Technical Briefs

November 2019

121 pages

ISBN:9781450369459

DOI:10.1145/3355088

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 2019

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Research-article
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Refereed limited

Funding Sources

The National Key Research and Development Program of China
National Natural Science Foundation of China

Conference

SA '19

Sponsor:

SIGGRAPH

SA '19: SIGGRAPH Asia 2019

November 17 - 20, 2019

QLD, Brisbane, Australia

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

Cheng JLiu ZLiu TChai Y(2024)A Parallel Ice Melting Simulation Based on ParticleBiologically Inspired Cognitive Architectures 202310.1007/978-3-031-50381-8_23(197-207)Online publication date: 14-Feb-2024
https://doi.org/10.1007/978-3-031-50381-8_23
Liu ZXu YWang XBan XZheng Z(2021)Simulation and visualization of solid-liquid phase transition and interactive using particle-based method2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)10.1109/CCCI52664.2021.9583207(1-5)Online publication date: 15-Oct-2021
https://doi.org/10.1109/CCCI52664.2021.9583207
Liu SBan XZeng XZhao FGao YWu WZhang HChen FHall TGao XXu M(2020)A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulationBMC Bioinformatics10.1186/s12859-020-03660-w21:1Online publication date: 9-Sep-2020
https://doi.org/10.1186/s12859-020-03660-w
Wang XLiu SBan XXu YZhou JKosinka J(2020)Robust turbulence simulation for particle-based fluids using the Rankine vortex model2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW50115.2020.00179(656-657)Online publication date: Mar-2020
https://doi.org/10.1109/VRW50115.2020.00179
Liu SWang BBan X(2020)Multiple-scale Simulation Method for Liquid with Trapped Air under Particle-based Framework2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR46266.2020.00109(842-850)Online publication date: Mar-2020
https://doi.org/10.1109/VR46266.2020.00109
Wang XLiu SBan XXu YZhou JKosinka J(2020)Robust turbulence simulation for particle-based fluids using the Rankine vortex modelThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-020-01914-536:10-12(2285-2298)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s00371-020-01914-5

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