Carrara P, Kruse R, Bentz D P, Lunardelli M, Leusmann T, Varady P A, De Lorenzis L
Technische Universität Braunschweig, Institute of Applied Mechanics, Pockelsstraße 3, 38106 Braunschweig, Germany.
National Institute of Standards and Technology, Engineering Laboratory, Materials and Structural Systems Division, Stop 8615, 100 Bureau Drive, Gaithersburg, MD 20899-8615, USA.
Cem Concr Compos. 2018 Oct;93. doi: 10.1016/j.cemconcomp.2018.06.014.
Obtaining the mesostructure of concrete from X-ray computed tomography (CT) requires segmentation of the data into distinct phases, a process complicated by the limited contrast between aggregates and mortar matrix. This paper explores the possibility to add baryte or hematite into the concrete mixture to enhance the contrast between cement paste and aggregates in CT, thus allowing for a semi-automatic segmentation. Raw and segmented CT images of plain and modified concrete mixtures are obtained and compared to assess the validity of the proposed approach. Characterization tests are also performed in order to ensure that the concrete characteristics are not appreciably affected by the presence of the enhancers.
通过X射线计算机断层扫描（CT）获取混凝土的细观结构需要将数据分割成不同的相，而集料与砂浆基体之间对比度有限，使得这一过程变得复杂。本文探讨了在混凝土混合物中添加重晶石或赤铁矿以增强CT中水泥浆体与集料之间对比度的可能性，从而实现半自动分割。获取了普通混凝土混合物和改性混凝土混合物的原始CT图像和分割后的CT图像并进行比较，以评估所提方法的有效性。还进行了特性测试，以确保增强剂的存在不会明显影响混凝土的特性。
