摘要
通过改进的格子Boltzmann方法对二维单颗粒绕流过程进行数值模拟,获得单颗粒分布在不同位置时出流速度的大小。同时,结合遗传算法与模拟退火算法导出遗传模拟退火算法,并将之用于优化颗粒分布,最终获得出流速度最小的单颗粒分布。所给数值算例验证了方法的有效性和可靠性。
In this paper, flow around a single particle in two- dimensional domain is simulated by the modified lattice Bohzmann method. Then the outflow speed can be obtained when the particle is located in different spots. Simultaneously, the so- called genetic simulated annealing algorithm is deduced by combining the genetic algorithm and the simulated annealing algorithm. By using this new algorithm, the optimal particle distribution can be analyzed considering that the outflow speed should be a minimum. The efficiency and the reliability of the proposed method are verified by some numerical examples.
出处
《航空计算技术》
2011年第5期14-18,共5页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(11071196
11101333)
陕西省自然科学基础研究计划项目资助(2011GQ1018)
西北工业大学基础研究基金项目资助
