Tension-torsion Deformation Band Datasets

Please read the following manuscript for appreciate background on datasets. The manuscript title and publication is: John Rotella, Adam L. Pilchak, Michael D. Sangid, Examining the pathways for deformation band formation at the mesoscale, Materials Characterization, 2021, 111552, ISSN 1044-5803, https://doi.org/10.1016/j.matchar.2021.111552. The following datasets are organized as MATLAB structure files. Each dataset contains digital image correlation, electron backscatter diffraction, and percolated threshold strain data for a single specimen. Percolated strain data is for 0.3%, 0.6% and 0.9% maximum in-plane shear strain. Within the structure files, CombinedData.() are two types of data, matrix and position. The matrix data is 1000 x 1000 elements and all data spatially correlates to the area of interest. The position data, GBx and GBy, are the spatial positions within the area of interest of the grain boundaries. Instead of using GBx and GBy, utilize the GBMask variable to plot the grain boundaries.请参阅下述手稿以明晰本数据集的相关背景信息。该手稿的标题与发表信息如下：John Rotella、Adam L. Pilchak、Michael D. Sangid，《介观尺度下变形带形成的路径研究》，《材料表征（Materials Characterization）》，2021年，文章编号111552，ISSN 1044-5803，DOI：https://doi.org/10.1016/j.matchar.2021.111552。 本数据集以MATLAB结构文件形式组织。每个数据集均包含单个试样的数字图像相关（digital image correlation）、电子背散射衍射（electron backscatter diffraction）及渗流阈值应变数据。其中渗流应变数据对应0.3%、0.6%与0.9%的最大面内剪切应变。在该结构文件中，CombinedData包含两类数据：矩阵数据与位置数据。矩阵数据规模为1000×1000个元素，所有数据在空间上均与感兴趣区域（area of interest）相对应。位置数据GBx与GBy为晶界在该感兴趣区域内的空间坐标。无需直接使用GBx与GBy，可通过GBMask变量绘制晶界。