Klimczak Marek, Jaworska Irena, Tekieli Marcin
Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24 Street, 31-155 Cracow, Poland.
Materials (Basel). 2022 Aug 12;15(16):5553. doi: 10.3390/ma15165553.
In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and focus on a two-dimensional case (it can be easily used as a part of the 3D geometry reconstruction, however). Initially obtained geometry of the inclusions is further simplified to reduce the cost of the finite element mesh generation. Three straightforward geometry simplification algorithms are used to perform this process in a controlled way. Subsequently, we present the solutions of two problems, i.e., heat flow and elasticity (plane strain), in order to illustrate the effectiveness of the whole elaborated methodology. The numerical results were obtained using the finite element method. Consequently, an error analysis is demonstrated in order to refer the overkill mesh solutions to the ones presented in this study. The main finding of this paper is the efficient methodology dedicated to a digital reconstruction of the asphalt concrete microstructure by the image processing. It can be also extended to other materials exhibiting similar microstructure.
在本文中，我们探讨沥青混凝土微观结构识别问题，以便进行进一步的数值分析。对潜在微观结构进行有效重建可使复合材料分析更可靠。为此，我们提出一种基于图像处理的方法，并专注于二维情况（不过它可轻松用作三维几何重建的一部分）。最初获得的夹杂物几何形状会进一步简化，以降低有限元网格生成的成本。使用三种直接的几何简化算法以可控方式执行此过程。随后，我们给出两个问题的解决方案，即热流和弹性（平面应变），以说明整个详细方法的有效性。数值结果是使用有限元方法获得的。因此，进行了误差分析，以便将过度精细网格的解与本研究中给出的解进行对比。本文的主要发现是通过图像处理对沥青混凝土微观结构进行数字重建的有效方法。它还可扩展到具有类似微观结构的其他材料。
