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Three-dimensional characterization of air voids in porous asphalt concrete

机译:多孔沥青混凝土空隙空隙的三维特征

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In this paper, a porous asphalt (PA) concrete specimen is taken as the research object to study the three-dimensional (3D) characterization of air voids in PA pavement. The digital cross-sectional images of the specimen were obtained by computed tomography (CT) scanning technology. Based on image processing technology and OTSU method, the voids were identified and separated from cross-sectional images and CT images were divided into three parts: void, asphalt mortar and aggregate. The 3D geometry of pores in the specimen was successfully reconstructed by 3D reconstruction technology proposed according to the overlapping principle. In order to obtain more accurate void size, a modification method was developed to reflect its actual value, and the topological structure of pore structures was studied at last. The main conclusions are as follows: (1) If necessary, image dodging should be conducted to uniform the illumination of CT images before segmentation, which may make a positive contribution to the segmentation results; (2) Pore structures in PA pavement can be divided into three types according to its interconnectivity with the external space, namely, interconnected pore, semi-interconnected pore and closed pore. (3) According to overlapping principle, pore structures can be reconstructed and separated into single pore with void images deducting those covering texture depth. (4) The 3D geometry of pores is complex and disordered, and the direction goes different, indicating that void size obtained from void images is generally larger than the actual size. (5) The actual size of voids in specimen is mainly distributed below 4.13 mm, mainly in the range of 1.03. 1.55 mm and adjacent ranges. (C) 2020 Elsevier Ltd. All rights reserved.
机译:本文采用多孔沥青(PA)混凝土标本作为研究PA路面空隙的三维(3D)表征的研究对象。通过计算机断层扫描(CT)扫描技术获得样本的数字横截面图像。基于图像处理技术和OTSU方法,将空隙与横截面图像识别并分离,CT图像分为三个部分:空隙,沥青砂浆和骨料。通过根据重叠原理提出的3D重建技术成功地重建了样本中的孔的3D几何形状。为了获得更准确的空隙尺寸,开发了一种改进方法以反映其实际值,并终于研究了孔隙结构的拓扑结构。主要结论如下:(1)如有必要,应进行图像躲避,以统一分割前CT图像的照明,这可能对细分结果作出积极贡献; (2)PA路面中的孔结构可根据其与外部空间的互连,即相互连接的孔,半互连孔和闭孔分为三种类型。 (3)根据重叠原理,可以重建孔结构并用空隙图像扣除覆盖纹理深度的空隙图像。 (4)孔的3D几何形状复杂且无序,方向不同,表明从空隙图像获得的空隙尺寸通常大于实际尺寸。 (5)样品中空隙的实际尺寸主要分布在4.13毫米以下,主要在1.03的范围内。 1.55毫米和相邻的范围。 (c)2020 elestvier有限公司保留所有权利。

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