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A multi-view optical technique to extract the operating deflection shapes of a full vehicle using digital image correlation

机译:一种使用数字图像相关性提取整车运行偏转形状的多视点光学技术

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摘要

The automotive and aerospace industries are increasingly using light-weight material to improve vehicle performance while reducing fuel consumption. However, using light-weight material can increase the air-borne and structure-borne noise. Thus, special attention needs to be paid in designing the vehicle body structure and evaluating its dynamics. In order to accomplish this, modal analysis is conventionally used. In this technique, the structure is excited using an impulse hammer or a mechanical shaker, and the response is measured using accelerometers. However, using contact-based transducers can mass-load the structure and can only provide data at a few discrete points. In the last decade, stereo-photogrammetry and three-dimensional digital-image correlation have received special attention in collecting operating data for structural analysis. These non-contact optical techniques provide a wealth of distributed data over the entire structure. However, the stereo-camera system is limited by the field of views of the cameras and can only measure the response on the parts of a structure for which cameras have lines of sight. Therefore, a single pair of DIC cameras may not be able to provide deformation data for an entire structure. A multi-view 3D DIC approach, however, can be used to predict the vibrational characteristics of a full vehicle. A pair of DIC cameras is passed over the entire vehicle to capture the deformation data of each field of view. The measured data includes the geometry and displacement data, which is mapped into a global coordinate system using 3D transformation matrices. The obtained data in the time domain for each field of view is transformed to the frequency domain using a Fast Fourier Transformation (FFT) to extract the operational deflection shapes and resonant frequencies for each field of view. The obtained deflection shapes are scaled and stitched in the frequency domain to extract the operating deflection shapes of the entire vehicle.
机译:汽车和航空航天工业越来越多地使用轻质材料来改善车辆性能,同时减少燃料消耗。但是,使用轻质材料会增加空气传播和结构传播的噪音。因此,在设计车身结构和评估其动力学时需要特别注意。为此,通常使用模态分析。在这种技术中,使用脉冲锤或机械振动器激发结构,并使用加速度计测量响应。但是,使用基于接触的换能器会大量加载结构,并且只能在几个离散点提供数据。在过去的十年中,立体摄影测量法和三维数字图像相关性在收集用于结构分析的操作数据时受到了特别的关注。这些非接触式光学技术可在整个结构上提供大量的分布式数据。但是,立体摄像机系统受到摄像机视场的限制,并且只能在摄像机具有视线的结构部分上测量响应。因此,一对DIC摄像机可能无法提供整个结构的变形数据。但是,多视图3D DIC方法可用于预测整车的振动特性。一对DIC摄像机穿过整个车辆,以捕获每个视场的变形数据。测得的数据包括几何数据和位移数据,这些数据使用3D变换矩阵映射到全局坐标系中。使用快速傅立叶变换(FFT)在每个视场的时域中将获得的数据转换到频域,以提取每个视场的操作偏转形状和共振频率。在频域中缩放和缝合获得的偏转形状,以提取整个车辆的工作偏转形状。

著录项

  • 来源
    《Thin-Walled Structures》 |2019年第12期|106426.1-106426.9|共9页
  • 作者单位

    Kettering Univ NVH & Expt Mech Lab NVHEM Lab 1700 Univ Ave Flint MI 48504 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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