基于四叉树直角坐标网格的运动界面追踪方法

doi:10.3969/j.issn.0438-1157.2014.z1.008

化工学报 ›› 2014, Vol. 65 ›› Issue (S1): 44-50.DOI: 10.3969/j.issn.0438-1157.2014.z1.008

基于四叉树直角坐标网格的运动界面追踪方法

王生辉, 尤伟, 李增耀

西安交通大学能源与动力工程学院热流科学与工程教育部重点实验室, 陕西西安 710049

收稿日期:2014-01-17 修回日期:2014-01-24 出版日期:2014-05-30 发布日期:2014-05-30
通讯作者: 李增耀
基金资助:
国家自然科学基金项目（50876083）；教育部新世纪优秀人才支持计划项目（NCET-09-0637）。

Interface-capturing method on quadtree-based adaptive Cartesian grid

WANG Shenghui, YOU Wei, LI Zengyao

Key Laboratory of Thermo-Fluid and Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China

Received:2014-01-17 Revised:2014-01-24 Online:2014-05-30 Published:2014-05-30
Supported by:
supported by the National Natural Science Foundation of China (50876083) and the Program for New Century Excellent Talents in University of China (NCET-09-0637).

摘要/Abstract

摘要： 运动界面的追踪是两相流模拟中需要解决的主要问题之一。基于四叉树直角坐标网格实现了Level set界面追踪方法和网格的局部自适应控制。通过模拟3个给定速度场（平移流场、旋转流场、剪切流场）的运动界面追踪问题，证明了自适应四叉树直角坐标网格与Level set方法结合的优势。

关键词: 运动界面, 数值模拟, Level set方法, 四叉树直角坐标网格, 网格自适应

Abstract: Capturing the moving ingerface is one of the critical issues in the simulation of two-phase flows. In this paper, a moving interface capturing method based on the level set method and the quadtree grid is preseated, in which the grid is locally and self-adaptively controlled. It is validated from three moving interface problems with the given velocity field of translational flow, rotational flow and shear flow that the combination of the Level set method and the quadtree grid is more efficient and accurate.

Key words: moving interface, numerical simulation, Level set method, quadtree-based Cartesian grid, adaptive mesh refinement

中图分类号:

O351.2

王生辉, 尤伟, 李增耀. 基于四叉树直角坐标网格的运动界面追踪方法[J]. 化工学报, 2014, 65(S1): 44-50.

WANG Shenghui, YOU Wei, LI Zengyao. Interface-capturing method on quadtree-based adaptive Cartesian grid[J]. CIESC Journal, 2014, 65(S1): 44-50.

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基于四叉树直角坐标网格的运动界面追踪方法

Interface-capturing method on quadtree-based adaptive Cartesian grid

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