列车部件撞击序列图像运动分析方法

为了精确分析车辆部件的撞击过程,采用变模板匹配技术,对撞击标识点进行特征识别,在对搜索区域进行运动方向和运动速度预测的基础上,提出了列车部件撞击序列图像运动分析方法。该方法不仅能显示动态变形过程及最后的残余变形,还能对特定目标或通过鼠标动态选择的目标进行标识跟踪,并计算出目标的位移、速度及加速度,然后以曲线、图表、数据等形式输出。对铝合金圆管试件的撞击序列图像的分析表明铝合金圆管的变形是从冲击端开始有序向约束端纵向进行,共形成七个皱褶,俯视图呈六边形,最大压缩量为230.9 mm,整个塑性变形过程持续64 ms,表明铝合金结构部件具备良好的塑性流动性,是比较好的车辆用吸能部件,说明该测试方法可行。

Motion Analysis Method of Series Images for Train Component Crash

In order to analyze the crash process of vehicle component,a motion analysis method of sequence images of train component crash was developed on the basis of the characteristic recognition of crash mark point in matching course and the prognostication of motion orientation and motion velocity in searched area by alterable template matching technique,the dynamic deformation process and final remain deformation could be showed,the special marked objects or dynamically selected objects by mouse could be recognized and tracked,and their displacements,velocities and accelerations could be worked out,which were exported by curves,tables and data.Test result shows that the deformation of aluminum alloy circle pipe part is processed in lengthways order from impact end to restraint end,all seven corrugations are shaped and its planform assumes hexagon,its max compressed length is 230.9 mm,the course of plastic deformation takes 64 ms,which indicates that the aluminum alloy component has good plastic fluidity,is fine energy-absorbed component of car-body,the analysis method is feasible.1 tab,11 figs,8 refs.