节点文献
某雷达天线风载扰动效应数值模拟研究
【作者】 卞海忠;
【导师】 李志刚;
【作者基本信息】 南京理工大学 , 机械制造及其自动化, 2012, 硕士
【摘要】 雷达在现在战争中有着举足轻重的作用,尤其是车载雷达的作用更是不可小觑,由于它信息化程度高,作战机动性强,这些优点确立了它在现代战争中不可替代的地位。车载雷达隐蔽性能好,自动化程度高,在战争中的使用频率很高,所以其在各国的军用设备研发中占很大和比重。雷达风载的计算现阶段主要有两种方法,一种是根据雷达的风载系数,和雷达天线的面积等数据估算出雷达风载;另一种方法是进行风洞实验,这其中又有两种类型,一种进行实体模型的风洞试验,另外一种是对等比例缩小的模型进行风洞试验。它们之中各有各自的好处,但也都有各自缺点。本文在某型车载雷达的基础之上,建立了雷达天线的简化模型,以三维Navier-Stokes方程为基础,基于有限体积法,采用基于密度计算法,使用Roe格式求解RNG k-ε模型,对雷达天线受到的风载效应进行模拟计算。先根据现有模型,先利用风载系数计算其受力及力矩,再根据风洞实验数据进行数值模拟的改进,并将模拟结果跟风洞实验数据进行对比,并且对模拟参数进行改进,然后再把它应用到需要研究的雷达天线模型当中进行模拟,得到雷达天线各点的风压数据、受到的三个方向的力及三个方向的力矩数据,从而计算得到雷达天线在工作的时候受到的倾覆力矩及旋转力矩,为车载雷达的设计提供有力的数据支持。
【Abstract】 Radar in war now has been playing an important role, especially for the Vehicle Motion Radar. Because of the high degree of informationization in battlefield nowadays and the mobility of the Vehicle Motion Radar.These advantages established it in modern warfare an irreplaceable position. The radar concealed performance is good, a high degree of automation, so it has a high frequency of using in the war, so more and more countries have invested more and more money to the military equipment research and to develop it.In this paper, the research is based on a certain type of Vehicle Motion Radar. Simplified model of radar antenna is conducted, the 3d Navier-Stokes equation as the foundation, based on the finite volume method, and the density meter is designed algorithms, use Roe format solution model of radar antenna for the wind load effect of the simulation. According to the existing shrinkage first wind tunnel data, numerical simulation is compared with wind tunnel experiments data, and parameter is improved. Later apply it to another radar antenna model for simulation. Wind pressure of three direction of force and torque data are obtained. The analysis result could apply technical support for the Vehicle Motion Radar and could provide the valuable reference data for engineering application.
【Key words】 radar wind load; Navier-Stokes equation; wind tunnel test; hybrid grid; numerical simulation;