An efficient surface algorithm for random-particle simulation of vorticity and heat transport
An efficient surface algorithm for random-particle simulation of vorticity and heat transport
复制标题
用于涡度和热传输随机粒子模拟的高效表面算法
DOI：
10.1016/0021-9991(89)90212-x
复制
发表时间：
1989
期刊：
影响因子：
--
通讯作者：
P. Stansby
中科院分区：
文献类型：
--
作者：
P. A. Smith;P. Stansby
随机涡流方法中融入了一种新的表面算法，用于模拟二维层流，其中涡流粒子在穿过固体表面时被删除而不是反射。这涉及对新创建的涡旋粒子的强度和随机游走的修改。对各种雷诺数的对称、脉冲启动的绕圆柱体流动的早期阶段的计算表明，收敛所需的涡流数量大大减少。该方法已进一步扩展以适应强制对流换热，其中在表面产生温度粒子以满足恒定表面温度的条件。涡流和温度粒子在每个时间步骤中一起处理。对于达到稳定状态的长期运行，与雷诺数高达几百的一些时间平均实验传热数据进行比较。卡门涡街出现在较高的雷诺数处。
A new surface algorithm has been incorporated into the random-vortex method for the simulation of 2-dimensional laminar flow, in which vortex particles are deleted rather than reflected as they cross a solid surface. This involves a modification to the strength and random walk of newly created vortex particles. Computations of the early stages of symmetric, impulsively started flow around a circular cylinder for a wide range of Reynolds numbers demonstrate that the number of vortices required for convergence is substantially reduced. The method has been further extended to accommodate forced convective heat transfer where temperature particles are created at a surface to satisfy the condition of constant surface temperature. Vortex and temperature particles are handled together throughout each time step. For long runs, in which a steady state is reached, comparison is made with some time-averaged experimental heat transfer data for Reynolds numbers up to a few hundred. A Karman vortex street occurs at the higher Reynolds numbers.