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Calibration of stereo-digital image correlation for deformation measurement of large engineering components

机译:用于大型工程部件变形测量的立体数字图像相关性的校准

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摘要

The development of stereo-digital image correlation (stereo-DIC) enables the application of vision-based technique that uses digital cameras to the deformation measurement of materials and structures. Compared with traditional contact measurements, the stereo-DIC technique allows for non-contact measurement, has a non-intrusive characteristic, and can obtain full-field deformation information. In this paper, a speckle-based calibration method is developed to calibrate the stereo-DIC system when the system is applied for deformation measurement of large engineering components. By combining speckle analysis with the classical relative orientation algorithm, relative rotation and translation between cameras can be calibrated based on analysis of experimental speckle images. For validation, the strain fields of a four-point bending beam and an axially loaded concrete column were determined by the proposed calibration method and stereovision measurement. As a practical application, the proposed calibration method was applied for strain measurement of a ductile iron cylindrical vessel in the drop test. The measured results verify that the proposed calibration method is effective for deformation measurement of large engineering components.
机译:立体数字图像相关性(stereo-DIC)的发展使基于视觉的技术得以应用,该技术将数码相机用于材料和结构的变形测量​​。与传统的接触式测量相比,stereo-DIC技术可以进行非接触式测量,具有非侵入性,并且可以获得全场变形信息。本文提出了一种基于散斑的校准方法,用于在将立体声DIC系统用于大型工程部件的变形测量​​时对其进行校准。通过将斑点分析与经典的相对方向算法相结合,可以基于对实验斑点图像的分析来校准相机之间的相对旋转和平移。为了验证,通过提出的校准方法和stereovision测量确定了四点弯曲梁和轴向受力混凝土柱的应变场。在实际应用中,提出的校准方法被用于跌落试验中球墨铸铁圆柱容器的应变测量。测量结果验证了所提出的校准方法对于大型工程部件的变形测量​​是有效的。

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