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Application of ground penetrating radar for locating buried impediments to geotechnical exploration and piling

机译:探地雷达在埋设障碍物定位中的应用

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摘要

Geotechnical exploration in strata containing boulders pose problems leading to wear and tear of equipment and time and cost over-runs due to the inability to foresee their presence. In addition, piling through such strata, particularly on hill slopes, is also a vexing problem, especially in the case of large diameter piles, which are commonly used for high-rise buildings. In locations, where buildings had already existed and are now demolished for redevelopment, there could also be buried impediments like old foundations or active utilities and other objects. Ground penetrating radar (GPR) could help in locating the buried objects and obstructions to drilling, excavation, and piling. The study described here deals with the instance of a site, admeasuring 21 m by 30 m, of a demolished building where a high-rise is being planned. Owing to unavailability of plans of the forty-year old building, which was demolished, GPR scanning has been used successfully to locate several of the buried footings and some boulders. The available antennae had central frequencies of 80 and 200 MHz. It was possible to get adequate information through these for carrying out exploration and preliminary selection of the locations of the pile foundations for the new building. Apart from visual interpretation of the radargram, digital classification using support vector machines (SVM) has been carried out. The inputs for the classification have been derived through the application of Hilbert transform to the signal amplitudes after post-processing of the radar data.
机译:由于无法预见岩石的存在,在包含巨石的地层中进行岩土工程勘探会导致设备磨损和时间及成本超支的问题。此外,尤其是在大直径桩的情况下,尤其是在山坡上,通过这种地层打桩也是一个令人头疼的问题,通常用于高层建筑。在已经存在建筑物且现在被拆除以进行重建的位置,也可能存在埋藏的障碍,例如旧基金会或现役公用事业和其他物体。探地雷达(GPR)可以帮助您找到埋藏的物体和障碍物,以进行钻孔,挖掘和打桩。此处描述的研究针对的是一个正在规划中的高层建筑的实例,该建筑物的面积为21 m x 30 m。由于无法使用已拆除的这栋已有40年历史的建筑的平面图,因此GPR扫描已成功用于定位一些被埋葬的地基和一些巨石。可用天线的中心频率为80和200 MHz。通过这些可能获得足够的信息,以进行探索和初步选择新建筑物桩基础的位置。除了可视化地解释雷达图外,还使用支持向量机(SVM)进行了数字分类。通过对雷达数据进行后处理后,对信号幅度应用希尔伯特变换,即可得出用于分类的输入。

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