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Improving of Data Processing Effectiveness for Pavement Structural Evaluation Using Subsurface Radar Probing

机译:使用地下雷达探测提高路面结构评估数据处理效率

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Problems of the data processing improving for pavement structure evaluation with help of subsurface radar probing are discussed. Iterative procedure to solve the inverse problem in frequency domain is used on the base of the genetic algorithm. For improving of data processing effectiveness it is proposed to use a modified genetic algorithm with adaptation of search range of pavement parameters. The results of reconstruction of electro-physical characteristics for model of five-layered pavement structure are presented.
机译:讨论了在地下雷达探测的帮助下改善路面结构评估数据处理的问题。在遗传算法的基础上,采用迭代法求解频域反问题。为了提高数据处理的有效性,提出了一种改进的遗传算法,该算法与路面参数的搜索范围相适应。给出了五层路面结构模型电生理特性的重建结果。

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