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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。
In order to accurately analyze the impact process of vehicle components, the variable template matching technology is used to identify the collision identification points. Based on the prediction of the movement direction and the movement speed of the search area, a motion analysis method of train component impact sequence images is proposed. The method can not only display the dynamic deformation process and the final residual deformation, but also identify and track the specific target or the target dynamically selected by the mouse, and calculate the displacement, velocity and acceleration of the target, and then use the curve, the chart, the data and the like Output. The analysis of the impact sequence images of the aluminum alloy tube specimen shows that the deformation of the aluminum alloy tube tube is carried out longitudinally from the impact end to the constraint end longitudinally, forming a total of seven folds, the top view is hexagonal, the maximum compression amount is 230.9 mm, the entire plastic deformation process continued 64 ms, indicating that the aluminum alloy structural components with good plastic flow, is better vehicle energy-absorbing components, indicating that the test method is feasible.