基于随机运动模型的结冰密度预测方法  

Prediction Method of Ice Accretion Density Using a Random Walk Model

作　　者：周莉[1] 徐浩军[1] 杨哲[1] 

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《北京理工大学学报》2013年第1期6-10,共5页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(61074007)

摘　　要：针对结冰过程随机性较强的特点,提出了一种适用于不同气象条件的结冰密度预测方法.结合单个液滴的随机运动特性建立了结冰模型,对不同模型参数下的结冰过程进行模拟,得到结冰密度随模型参数的变化关系,并在气象因子与模型参数之间构建解析模型,从而可以预测出不同气象条件下的结冰密度.仿真结果表明:随机运动模型所预测的不同气象条件下的结冰密度与实验结果吻合.Following the random characteristics of ice accretion process, a prediction method is proposed to investigate the density of ice accretion under different atmospheric conditions. Based on the property of droplet motion, a random walk model for the droplets along ice structure has been introduced to simulate the ice accretion process. As a result, the effects of model parameters including freezing and motion parameters on ice density could be obtained. In addition, a relationship between atmospheric factor and two parameters of random-walk model has been established. Consequently, different types of ice structure and density could be predicted. Simulation results show that the ice density and accretion structure predicted by introduced random walk model agree qualitatively with experimental observations.

关 键 词：结冰密度 气象条件 随机运动 预测 

分 类 号：P426.3[天文地球—大气科学及气象学]