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Optimization of Ground Penetrating Radar (GPR) Mixture Model in Road Pavement Density Data Analysis

机译:道路路面密度数据分析中地面穿透雷达(GPR)混合模型的优化

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This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and density for various road pavements densities. The proposed method is simple, fast, nondestructive and accurate way to determine the density of road pavement. Density is a one of the important parameter in order to determine the compressive strength of road pavement. In laboratory, a few of received signal strength and measured attenuation for nine road pavement slab samples were taken at four different frequencies. The GPR mixture model has been used to produce the predicted attenuation due to the pavement density. The calculation and selection of mixture model has been discussed thoroughly and only the best performance of GPR mixture model was selected for optimization.
机译:本文介绍了基于测量和仿真的GPR混合模型的优化,频率范围为1.7-2.6 GHz。目的是在各种道路路面密度的衰减和密度之间获得最准确的关系。所提出的方法简单,快速,无损和准确的准确方式来确定道路路面密度。密度是重要参数之一,以确定道路路面的压缩强度。在实验室中,在四种不同的频率下拍摄了几种接收的信号强度和测量的九个路面板样品的衰减。 GPR混合物模型已被用于由于路面密度产生预测的衰减。已经彻底讨论了混合模型的计算和选择,并且仅选择了GPR混合物模型的最佳性能进行了优化。

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