4.7 Article

A NDT Method for Location and Buried Depth Measurement of Rebars in Concrete Pole

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2022.3184339

关键词

Magnetic field measurement; Magnetic fields; Sensor arrays; Magnetic domains; Layout; Concrete; Coils; Error analysis; magnetization effect; rebar buried depth; rebar location

资金

  1. National Natural Science Foundation of China [52077012]

向作者/读者索取更多资源

This article proposes a nondestructive method for location and buried depth measurement of vertical rebars in concrete structures based on the magnetization effect. By analyzing the influence of the magnetization effect on the magnetic field and designing a sensor layout to measure magnetic induction intensity, the position and depth of the rebars are determined. The effectiveness of the method is verified through simulation and experiments, and the influence of rebar diameter and spacing on the measurement is discussed.
Accurate measurement of the buried depth of rebars can effectively judge the durability of the reinforced concrete (RC) structure. However, most of the existing measurement methods cannot determine the deflection of rebar and do not consider the influence of factors such as the diameter and spacing of rebars, which results in low buried depth measurement accuracy. Therefore, this article takes the vertical rebars in concrete poles as the research object, and proposes a nondestructive method for location and buried depth measurement based on the magnetization effect. First, this article analyzes the influence of the magnetization effect excited by the rebars on the original magnetic field and then designs the sensor layout to measure the magnetic induction intensity at different positions. Second, the central axis position and deflection angle of rebars are determined by comparing the measured data, and the buried depth is derived by applying the support vector regression (SVR) algorithm. In addition, the proposed method is verified through simulation and experiments. Finally, this article discusses the influence of the diameter and spacing of rebars on the buried depth measurement and uses the influencing factors as the inputs of the SVR algorithm model to correct the prediction results, which effectively reduces the maximum measurement error from 2.15 to 0.36 mm.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据