摘要
根据大展弦比飞机机翼弯曲变形大、配平试验风速变化范围广等特点,在已有数据处理方式基础上,结合地面加载试验,基于数据聚类思想建立了一种新的快速数据处理方法。通过对某大展弦比柔性飞机风洞配平试验数据聚类分析,快速得到各风速下机翼的应变量,并与地面加载试验拟合函数进行插值,使得在风洞试验过程中可以对柔性机翼载荷进行快速计算,从而更好地指导不同车次风洞试验,提高试验的安全性与效率。与风洞天平试验数据处理结果的对比也表明:改进的聚类方法处理结果准确,对高频率的数据采集结果有较高效率和可靠性。
According to the characteristics of high aspect ratio wing’s bending deformation and wind tunnel test data,based on the existing data processing methods,a new fast data analysis method was established by adding ground loading test and data clustering idea.By analyzing the test data of wind tunnels for a large aspect ratio aircraft and interpolating with the ground loading test fitting function,the flexible wing load can be monitored during the wind tunnel tests,so as to better guide the following tests.The safety and efficiency of the test is also improved.The comparison with the wind tunnel balance data shows that the improved method is accurate,and has high efficiency and feasibility for high frequency data acquisition.
作者
吕计男
王昕江
许云涛
刘燚
杜鹏飞
LYU Jinan;WANG Xinjiang;XU Yuntao;LIU Yi;DU Pengfei(China Academy of Aerospace Aerodynamics,Beijing 100074,China;Beijing Institute of Mechanical and Electrical Engineering,Beijing 100074,China;Department of Arms Engineering of PLA,Beijing 100072,Chin)
出处
《兵器装备工程学报》
CAS
北大核心
2018年第10期6-10,共5页
Journal of Ordnance Equipment Engineering
关键词
静气动弹性
聚类分析
风洞试验
大展弦比
static aeroelasticity test
K-Means cluster analysis
wind tunnel test
high aspect ratio
