We apply Digital Image Correlation (DIC) to X-ray Computed Tomography (CT) slices for characterization of individual fibers misalignment in continuous fiber composites. This is an atypical application of DIC since the input is slices of a CT tomogram acquired at one time step, whereas the input of the typical deformation analysis application is 2D images captured over consecutive loading steps. The methodology is demonstrated and validated on synchrotron CT images of a glass/epoxy laminate, where individual fibers can be clearly identified. It is found that the average/standard deviation of the DIC displacement field in every CT slice is a good estimation of the average/standard deviation of the actual displacement of all fibers’ cross-sections in that slice. This provides a shortcut to the measurement of the moments of fiber orientation distribution, compared to the algorithms that reconstruct the fiber center lines. Using this shortcut, the fiber misalignment was also characterized in synchrotron CT images of a carbon/epoxy laminate, where individual fibers were not clearly observed and where, fiber segmentation tools failed to characterize the fibers. Furthermore, being applied to synchrotron images acquired during in-situ tension, the methodology is employed to quantify the evolution of misalignment during tension,. The investigated 3D volumes are provided on Mendeley Data and described in a Data in Brief article.

我们将数字图像相关性（DIC）应用于X射线计算机断层扫描（CT）切片，以表征连续纤维复合物中单个纤维未对准的特征。这是DIC的一种非典型应用，因为输入是在一个时间步长获取的CT断层图的切片，而典型的变形分析应用程序的输入是在连续加载步骤中捕获的2D图像。该方法在玻璃/环氧树脂层压板的同步加速器CT图像上得到了证明和验证，其中可以清楚地识别出各个纤维。结果发现，每个CT切片中DIC位移场的平均/标准偏差是对该切片中所有光纤横截面实际位移的平均/标准偏差的良好估计。与重建光纤中心线的算法相比，这为测量光纤取向分布矩提供了捷径。使用该快捷方式，碳/环氧树脂层压板的同步加速器CT图像还可以表征纤维未对准，其中未清晰观察到单个纤维，而纤维分割工具无法表征纤维。此外，适用于在就地张力而言，该方法用于量化张力期间未对准的演变。调查的3D体积在Mendeley数据上提供，并在“数据简介”文章中进行了描述。