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Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography

机译:基于工业计算机层析成像技术评估沥青混合料的RLWT车辙试验

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To eliminate the effects of image’s light and shade difference when separating and distinguishing the material composition, a method is put forward, namely, ring-type and partitions threshold segmentation. It means setting up different segment threshold for different areas of the same image and then combining these different areas into one image. Furthermore, by analyzing the CT image before and after the RLWT rutting test for the drilling specimen and Marshall specimen and taking the volume of air voids and the angle (alpha) between max main axis and X axis, the differences of two kinds of specimens’ macrotest results were discussed from internal structure distribution. Here, we show that there are differences between macrotest results of two kinds of specimens because of internal air voids and aggregate distribution, which should be considered for compliance testing.
机译:为了消除分离和区分材质成分时图像明暗差异的影响,提出了一种环型和分割阈值分割方法。这意味着为同一图像的不同区域设置不同的分割阈值,然后将这些不同的区域组合为一张图像。此外,通过分析钻井样品和马歇尔样品的RLWT车辙试验前后的CT图像,并获取气孔的体积和最大主轴与X轴之间的夹角(α),得出两种样品的差异。从内部结构分布讨论了宏观测试结果。在这里,我们表明两种样品的宏观测试结果之间存在差异,这是因为内部存在空隙和聚集体分布,应将其用于一致性测试。

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