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Extending Digital Image Correlation to Reconstruct Displacement and Strain Fields around Discontinuities in Geomechanical Structures under Deformation

机译:扩展数字图像相关性以重构变形作用下岩土力学结构中不连续处的位移和应变场

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Reconstruction of displacement and strain fields in geomechanical structures from surface images is a challenging task. Digital Image Correlation (DIC) is a well known technique to achieve these tasks if deformation is continuous but it fails in the presence of discontinuities. This paper investigates the application of the DIC technique to displacement and strain field reconstruction in the presence of discontinuities, and presents a post-processing algorithm that leverages the convergence results in DIC to reconstruct displacement and strain fields around discontinuities with high accuracy. The proposed algorithm uses the results obtained from DIC and concentrates on the area where DIC fails. Pattern matching is conducted on the area around the discontinuities and associated displacement is found for each pixel. The proposed algorithm is tested using two different discontinuity scenarios: dislocation and fracture in structures. The results show that the proposed algorithm successfully reconstructs the displacement and strain fields to sub pixel accuracy of 1/10th of a pixel.
机译:从表面图像重建地质力学结构中的位移场和应变场是一项艰巨的任务。如果变形是连续的,但数字图像相关性(DIC)是实现这些任务的众所周知的技术,但在不连续的情况下会失败。本文研究了DIC技术在存在不连续性的位移和应变场重构中的应用,并提出了一种后处理算法,该算法利用DIC中的收敛结果来高精度地重构不连续性周围的位移和应变场。所提出的算法使用从DIC获得的结果,并集中在DIC失败的区域。在不连续周围的区域上进行图案匹配,并为每个像素找到相关的位移。所提出的算法是使用两种不同的不连续性场景进行测试的:结构中的位错和断裂。结果表明,该算法成功地将位移场和应变场重构为像素的1/10的子像素精度。

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