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Meso-structure image pre-selection method for two-dimensional finite element modeling in beam bending simulation of asphalt mixture

机译：沥青混合料光束弯曲模拟中二维有限元建模的台面结构图像预选方法

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Finite element (FE) simulation has been widely used in conjunction with the beam bending test (BBT) to analyze the cracking behavior of asphalt mixtures. Crack propagation is significantly affected by the internal structure of an asphalt mixture. Limitations on computational resources and the complex mesostructure of asphalt mixtures have resulted in two-dimensional (2D) FE simulations being more widely used than three-dimensional simulations. However, a single 2D FE model can only reflect the mesostructural characteristics of one specimen section, precluding comparison between the simulation and laboratory test results. In this paper, X-ray CT scanning technology was used to obtain a large number of internal mesostructure images of an asphalt mixture, and image-based modeling was used to construct 2D FE models for simulating beam bending tests. An analysis of the simulated crack morphologies and positions of the models was used to propose a prediction method for the crack position based on image processing technology, and a hypothesis that the crack positions were correlated with the simulation results was put forward. This hypothesis was verified by comparing the simulation and laboratory test results. Finally, the predicted crack position (CPRP) was used to propose an image preselection method from which 2D FE models were constructed to simulate of BBT for an asphalt mixture. This method considerably reduces the number of 2D FE models required and significantly improves the calculation efficiency while ensuring the accuracy of the BBT 2D simulations. (C) 2020 Elsevier Ltd. All rights reserved.
机译：有限元（FE）仿真已广泛与光束弯曲试验（BBT）一起使用，以分析沥青混合物的开裂行为。裂纹繁殖受沥青混合物的内部结构的显着影响。对计算资源的局限性和沥青混合物的复杂腹部结构导致二维（2D）FE模拟比三维模拟更广泛。然而，单一的2D Fe模型只能反映一个样本部分的腹腔结构特征，防止模拟和实验室测试结果之间的比较。在本文中，使用X射线CT扫描技术来获得沥青混合料的大量内部介性模拟图像，并且使用基于图像的建模来构建用于模拟光束弯曲测试的2D FE模型。对模拟裂纹形态和模型的位置的分析用于提出基于图像处理技术的裂缝位置的预测方法，并提出了裂缝位置与仿真结果相关的假设。通过比较模拟和实验室测试结果来验证该假设。最后，使用预测的裂缝位置（CPRP）来提出一种图像预选方法，从中构建了2D Fe模型以模拟BBT的沥青混合物。该方法显着降低了所需的2D FE模型的数量，并显着提高计算效率，同时确保BBT 2D仿真的准确性。 （c）2020 elestvier有限公司保留所有权利。

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