AUTOMATIC ANALYSIS OF GROUND PENETRATING RADAR (GPR) PROFILE

探地雷达 (GPR) 剖面自动分析

• 批准号: 488508-2015
• 负责人: Zhu, Zhenhua
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586279
• 关键词: AUTOMATIC; ANALYSIS; GROUND; PENETRATING; RADAR

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.

该研究项目的主要目标是帮助Radex Detection Inc.创建自动分析方法 用于解释混凝土桥面的探地雷达（GPR）剖面， 雷达为了实现这一目标，这里提出了一种新的方法。该方法从识别 根据雷达剖面中信号的反射峰值确定桥面的各层。然后，不同的数字 滤波器被设计用于定位每层中的异常区域。对异常区域进行了进一步的分类 用预先训练好的支持向量机（SVM）消除与腐蚀无关的异常。 这样，可以生成腐蚀图来表示桥梁的详细劣化状况 甲板该方法将在Matlab中实现，并在现场检测真实的试验中进行评估 魁北克的混凝土桥。它有望减少当前探地雷达所需的时间、成本和工作量 概述了Radex Detection Inc.的解释实践，其由概况分析员手动执行。的 时间、成本和工作量的减少将进一步鼓励使用探地雷达来获得详细和准确的信息 在检查具体基础设施时，提供基础设施劣化信息。因此，基础设施 业主可以作出明智和明智的维修决定，以保持基础设施的健康服务， 在它们结构上有缺陷或功能上过时之前，