探地雷达
钢筋
可视化
桥(图论)
覆盖
计算机科学
背景(考古学)
无损检测
结构工程
反射计
自动化
塔楼
工程类
地质学
遥感
时域
雷达
人工智能
计算机视觉
机械工程
古生物学
程序设计语言
放射科
内科学
电信
医学
作者
Kien Dinh,Nenad Gucunski,Tarek Zayed
标识
DOI:10.1016/j.ndteint.2018.11.015
摘要
Ground-penetrating radar (GPR) is one of the most commonly used technologies for condition assessment of concrete bridge decks. However, there have been no fully automated algorithms to visualize the data collected with this technique. In such context, the current paper presents a method for a full automation of GPR data visualization and analysis. Based on the background removal, depth correction, synthetic aperture focusing technique (SAFT), and interpolation algorithms, this automated method produces a plan view map of amplitude of GPR signals. In the obtained map, two types of information are observed at the same time. First, as the strongest reflectors of electromagnetic energy, rebars will appear as the most visible. Second, the areas of corrosive environment and, thus, likely corrosion, will be detected as having low amplitude rebar reflections. As a proof of concept, the proposed method was implemented for two bare concrete bridge decks and two concrete bridge decks with asphalt overlays. In all cases, the results obtained were excellent where the maps pinpointed the areas affected by corrosion. These areas were confirmed by other methods of evaluation, such as electrical resistivity (ER), half-cell potential (HCP), chloride analysis of core samples, or visual inspection. With the demonstrated performance, the proposed method is expected to be an excellent alternative to the available methods of GPR data evaluation and visualization. In the future, it should be improved to provide an indication of corrosion severity/probability at each deck location.
科研通智能强力驱动
Strongly Powered by AbleSci AI