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Performance Prediction Method And System Of Pervious Concrete Based On Meso-Structure Reconstruction Model

机译:基于细观结构重构模型的透水混凝土性能预测方法和系统

摘要

The present invention discloses a performance prediction method and system of pervious concrete based on a meso-structure reconstruction model. The method includes: obtaining a tomographic image of a coarse aggregate; extracting a coarse aggregate distribution region in the tomographic image of the coarse aggregate; calculating a maximum thickness of a coating; adding a cement-based coating with a preset thickness to the surface of the coarse aggregate in the coarse aggregate distribution region by a morphological operation method, to obtain a coating-added image; three-dimensionally reconstructing the coating-added image by a three-dimensional reconstruction method, to obtain a three-dimensional model of the pervious concrete; extracting a pore distribution region in the coating-added image; three-dimensionally reconstructing the pore distribution region by a three-dimensional reconstruction method, to obtain a three-dimensional model of a pore; and predicting a performance parameter of the pervious concrete corresponding to the three-dimensional model of the pervious concrete.
机译:本发明公开了一种基于细观结构重构模型的透水混凝土性能预测方法和系统。该方法包括:获得粗骨料的层析图像;以及在所述粗骨料的断层图像中提取粗骨料分布区域;计算涂层的最大厚度;通过形态学操作方法在粗骨料分布区域中的粗骨料表面上添加预定厚度的水泥基涂料,得到涂料图像。通过三维重建方法对添加的涂层图像进行三维重建,得到透水混凝土的三维模型。在添加涂层的图像中提取孔分布区域;通过三维重建方法对孔分布区域进行三维重建,得到三维孔模型。并预测与渗透混凝土的三维模型相对应的渗透混凝土的性能参数。

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