high viscosity fluid simulation using particle-based method
文献类型：会议论文
| 作者 | Chang Yuanzhang ; Bao Kai ; Zhu Jian ; Wu Enhua |
| 出版日期 | 2011 |
| 会议名称 | IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011 |
| 会议日期 | March 19, |
| 会议地点 | Singapore, Singapore |
| 关键词 | Fluids Hydrodynamics Navier Stokes equations Virtual reality Viscosity Viscous flow |
| 页码 | 199-205 |
| 英文摘要 | We present a new particle-based method for high viscosity fluid simulation. In the method, a new elastic stress term, which is derived from a modified form of the Hooke's law, is included in the traditional Navier-Stokes equation to simulate the movements of the high viscosity fluids. Benefiting from the Lagrangian nature of Smoothed Particle Hydrodynamics method, large flow deformation can be well handled easily and naturally. In addition, in order to eliminate the particle deficiency problem near the boundary, ghost particles are employed to enforce the solid boundary condition. Compared with Finite Element Methods with complicated and time-consuming remeshing operations, our method is much more straightforward to implement. Moreover, our method doesn't need to store and compare to an initial rest state. The experimental results show that the proposed method is effective and efficient to handle the movements of highly viscous flows, and a large variety of different kinds of fluid behaviors can be well simulated by adjusting just one parameter. © 2011 IEEE. |
| 收录类别 | EI |
| 会议主办者 | IEEE Visualization and Graphics Technical Committee (VGTC) |
| 会议录 | ISVRI 2011 - IEEE International Symposium on Virtual Reality Innovations 2011, Proceedings
 |
| 会议录出版地 | United States |
| ISBN号 | 9781457700538 |
| 源URL | [http://124.16.136.157/handle/311060/14291]  |
| 专题 | 软件研究所_计算机科学国家重点实验室 _会议论文 |
| 推荐引用方式 GB/T 7714 | Chang Yuanzhang,Bao Kai,Zhu Jian,et al. high viscosity fluid simulation using particle-based method[C]. 见:IEEE International Symposium on Virtual Reality Innovations 2011, ISVRI 2011. Singapore, Singapore. March 19,. |
入库方式： OAI收割
来源：软件研究所
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