基于电磁感应的钢筋定位及埋深检测方法研究

Research on detection method of rebar location and buried depth based on electromagnetic induction

钢筋混凝土结构广泛运用于电力基础设施中,对其内部钢筋参数进行检测能够有效判断其结构耐久性,对保障电力系统安全稳定运行有重要的意义。针对传统钢筋混凝土检测方法无法判断混凝土内钢筋走向及埋深测量不够精确的问题,通过对钢筋测量原理分析和霍尔传感器布局设计,提出了一种基于电磁感应的钢筋定位及埋深检测方法。该方法用于判断钢筋的中心位置并测量其偏转角度,同时利用拟合得到的函数反应检测值与钢筋埋深之间的关系。实验表明,埋深检测值受到相邻钢筋的影响而存在较大误差,间距越小误差越大,因此通过BP神经网络对不同间距下的检测值进行了数据修正,有效地提高了混凝土中钢筋埋深的检测精度。

Reinforced concrete structures are widely used in the power infrastructure,and the detection of rebar can effectively judge the durability of the structure,which is of great significance to ensure the stable operation of the power system.Aiming at the problem that the traditional reinforced concrete detection method cannot determine the direction of the rebar and the measurement of the buried depth is not accurate enough,a method of positioning and buried depth detection based on electromagnetic induction is proposed,through the analysis of the measurement principle of the rebar and the layout design of the Hall sensor.This method is used to judge the center position of the rebar and measure its deflection angle,and the relationship between the detection value and the buried depth is reflected according to the fitting function.Experiments show that the buried depth detection value is affected by the adjacent rebar,the smaller the spacing,the greater the error.Therefore,the detection value under different spacing is corrected by the back propagation neural network,which effectively improves the detection accuracy of the buried depth of the rebar.