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Large deformation measurement scheme for 3D digital image correlation method

机译:用于3D数字图像相关方法的大变形测量方案

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摘要

Difficulties often arise for digital image correlation (D1C) technique when serious de-correlation occurs between the reference image and the deformed image due to large deformation. An updating reference image scheme could be employed to deal with large deformation situation, however that will introduce accumulated errors. A large deformation measurement scheme, combining improved coarse search method and updating reference image scheme, is proposed in this paper. For a series of deformation images, the correlation calculation begins with a seed point and spreads out. An improved coarse search method is developed to calculate the initial correlation parameters for the seed point, which guarantees that the correlation calculation can be carried out successfully even in large deformation situation. Only for extremely large deformation, the reference image is updated. Using this method, not only extremely large deformation can be measured successfully but also the accumulated error could be controlled. A polymer material tensile test and a foam compression test are used to verify the proposed scheme. Experimental results show that up to 450% tensile deformation and 83% compression deformation can be measured successfully.
机译:当参考图像和变形图像由于大变形而发生严重的去相关时,数字图像相关(D1C)技术通常会遇到困难。可以采用更新的参考图像方案来处理较大的变形情况,但是会引入累积的误差。提出了一种结合改进的粗搜索法和更新参考图像方案的大变形测量方案。对于一系列变形图像,相关性计算从种子点开始并扩展。提出了一种改进的粗搜索方法来计算种子点的初始相关参数,从而保证即使在大变形情况下也能成功进行相关计算。仅当变形很大时,参考图像才会更新。使用这种方法,不仅可以成功地测量出非常大的变形,而且可以控制累积的误差。聚合物材料拉伸试验和泡沫压缩试验用于验证所提出的方案。实验结果表明,可以成功测量高达450%的拉伸变形和83%的压缩变形。

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