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A Symmetric Particle-Based Simulation Scheme towards Large Scale Diffuse Fluids
- Source :
- Symmetry, Vol 10, Iss 4, p 86 (2018), Symmetry; Volume 10; Issue 4; Pages: 86
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- We present a symmetric particle simulation scheme for diffuse fluids based on the Lagrangian Smoothed Particle Hydrodynamics (SPH) model. In our method, the generation of diffuse particles is determined by the entropy of fluid particles, and it is calculated by the velocity difference and kinetic energy. Diffuse particles are generated near the qualified diffuse particle emitters whose diffuse material generation rate is greater than zero. Our method fits the laws of physics better, as it abandons the common practice of adding diffuse materials at the crest empirically. The coupling between diffuse materials and fluid is a post-processing step achieved by the velocity field, which enables the avoiding of the time-consuming process of cross finding neighbors. The influence weights of the fluid particles are assigned based on the degree of coupling. Therefore, it improved the accuracy of the diffuse particle position and made the simulation results more realistic. The approach is appropriate for large scale diffuse fluid, as it can be easily integrated in existing SPH simulation methods and the computational overhead is negligible.
- Subjects :
- Particle simulation
Physics and Astronomy (miscellaneous)
General Mathematics
02 engineering and technology
Generation rate
Kinetic energy
01 natural sciences
diffuse fluids
Smoothed-particle hydrodynamics
cooperation visualization
symbols.namesake
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
physically-based simulation
010306 general physics
symmetry
Physics
lcsh:Mathematics
Smoothed Particle Hydrodynamics (SPH)
020207 software engineering
Particle position
lcsh:QA1-939
Computational physics
Chemistry (miscellaneous)
symbols
Vector field
Simulation methods
Lagrangian
Subjects
Details
- Language :
- English
- ISSN :
- 20738994
- Volume :
- 10
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Symmetry
- Accession number :
- edsair.doi.dedup.....80dc65f059d4668f14d4c525d7dbb250