基于仿真的探地雷达铁路应用方法

A. Benedetto, F. Tosti, L. B. Ciampoli, L. Pajewski, D. Pirrone, A. Umiliaco, M. G. Brancadoro
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引用次数: 11

摘要

在这项工作中,一个能够预测不同物理条件下铁路道砟骨料电磁响应的数值模型已经通过基于仿真的方法进行了校准和验证。镇流器模型基于其组成材料的主要物理和几何特性,并通过随机顺序吸收(RSA)方法生成。然后利用时域有限差分(FDTD)模拟器计算了该场景下探地雷达(GPR)信号的响应。根据AASHTO土壤分类,同时考虑了参考压舱材料和细粒污染物材料(即A4土类材料)的主要物理性质和粒度特征,对模型进行了标定。利用gprMax免费模拟器生成了合成探地雷达响应。考虑了几个场景,这些场景又在实验室环境中重现,并用于模型的验证。有希望的结果表明,这种方法在表征复杂的粗粒非均质材料的模拟响应方面具有很高的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simulation-based approach for railway applications using GPR
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.
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