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A simulation-based approach for railway applications using GPR

机译:使用GPR的基于仿真的铁路应用方法

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In this work a numerical model capable to predict the electromagnetic response of railway ballast aggregates under different physical conditions has been calibrated and validated by a simulation-based approach. The ballast model is based on the main physical and geometrical properties of its constituent material and it is generated by means of a random-sequential absorption (RSA) approach. A finite-difference time-domain (FDTD) simulator is then employed to calculate the ground-penetrating radar (GPR) signal response to the scenario. The calibration of the model has been performed by taking into account the main physical properties and the grain size characteristics of both the reference ballast material and a fine-grained pollutant material, namely, an A4 soil type material, according to the AASHTO soil classification. The synthetic GPR response has been generated by using the gprMax freeware simulator. Several scenarios have been considered, which in turn were reproduced in laboratory environment and used for the validation of the model. Promising results have demonstrated the high potential of such approach in characterizing the simulated response of complex coarse-grained heterogeneous materials.
机译:在这项工作中,已经通过基于仿真的方法对能够预测铁路压载骨料在不同物理条件下的电磁响应的数值模型进行了校准和验证。镇流器模型基于其组成材料的主要物理和几何特性,并且是通过随机顺序吸收(RSA)方法生成的。然后,使用时域有限差分(FDTD)模拟器来计算对场景的探地雷达(GPR)信号响应。根据AASHTO的土壤分类,已通过考虑参考压载物材料和细颗粒污染物材料(即A4土壤类型的材料)的主要物理特性和晶粒尺寸特征对模型进行了校准。合成的GPR响应是通过使用gprMax免费软件模拟器生成的。考虑了几种方案,这些方案又在实验室环境中复制并用于模型验证。有希望的结果证明了这种方法在表征复杂的粗粒非均质材料的模拟响应方面的巨大潜力。

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