AUTOMATIC ANALYSIS OF GROUND PENETRATING RADAR (GPR) PROFILE

该研究项目的主要目标是帮助Radex检测公司创建一种自动分析方法 利用双波束探测混凝土桥面探地雷达(GPR)剖面 雷达。为了实现这一目标，本文提出了一种新的方法。该方法从识别 桥面铺装层是根据其探地雷达剖面中信号的反射峰值确定的。然后，不同的数字 设计了滤光片来定位每一层中的异常区域。对异常区域进行了进一步分类 利用预先训练好的支持向量机来剔除与腐蚀无关的异常。 这样，就可以生成腐蚀图来表示桥梁的详细劣化情况 甲板。提出的方法将在MatLab中实现，并在现场试验中进行评估 魁北克的混凝土桥梁。预计这将减少目前探地雷达所需的时间、成本和工作量 Radex Detect Inc.的剖面解释实践，由剖面分析员手动执行。这个 时间、成本和工作量的减少将进一步鼓励使用探地雷达，以获得详细和准确的信息 基础设施恶化信息，在检查混凝土基础设施时。因此，基础设施 业主可以做出明智和明智的维护决策，以保持基础设施的健康运行 公众，在他们的结构缺陷或功能过时之前。

The main objective of this research project is to help Radex Detection Inc. create an automatic analysis method for interpreting the Ground Penetrating Radar (GPR) profiles of concrete bridge decks using its Dual-Beam radar. In order to achieve this objective, a novel method is proposed here. The method starts with identifying the layers of a bridge deck based on the reflection peaks of the signals in its GPR profile. Then, different digital filters are designed to locate the abnormal regions in each layer. The abnormal regions are further classified with a pre-trained support vector machine (SVM) to eliminate the abnormalities unrelated to the corrosion. This way, a corrosion map could be generated to represent the detailed deterioration conditions of the bridge deck. The proposed method will be implemented in Matlab and evaluated in the field trials of inspecting real concrete bridges in Quebec. It is expected to reduce the time, cost, and effort required in the current GPR profiles interpretation practices in Radex Detection Inc., which are performed manually by profile analysts. The time, cost and effort reductions will further encourage use of the GPR to get detailed and accurate infrastructure deterioration information, when inspecting concrete infrastructures. As a result, the infrastructure owners could make wise and informed maintenance decisions to keep the infrastructures healthy in service to the public, before they are structurally deficient or functionally obsolete.