Xu Dong-Sheng, Zhao Yu-Meng, Liu Hua-Bei, Zhu Hong-Hu
School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, China.
School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China.
Sensors (Basel). 2017 Aug 1;17(8):1758. doi: 10.3390/s17081758.
With the rapid construction of metro tunnels in many metropolises, a fast and convenient solution to capture tunnel deformation is desired by civil engineers. This contribution reports an automatic and wireless tunnel deformation monitoring system using ultrasonic transducers. A processing algorithm of the redundant ultrasonic information (RUI) approach is proposed to improve measurement accuracy. The feasibility of this tunnel deformation monitoring method is carefully examined with various probe angles, distances, and surrounding temperature variations. The results indicate that high accuracy can be achieved with different coefficients for various probe angles and sensor distances, as well as temperatures. In addition, a physical tunnel model was fabricated to verify the new processing algorithm of the RUI approach for a wireless tunnel deformation sensing system. The test results reveal that average measurement errors decreased from 7% to 3.75% using the RUI approach. Therefore, it can be concluded that the proposed approach is well suited to the automatic detection of critical conditions such as large deformation events in metro tunnels.
随着许多大都市地铁隧道的快速建设,土木工程师们期望有一种快速便捷的方法来获取隧道变形情况。本文介绍了一种使用超声换能器的自动无线隧道变形监测系统。提出了一种冗余超声信息(RUI)方法的处理算法以提高测量精度。通过改变探头角度、距离以及周围温度,仔细研究了这种隧道变形监测方法的可行性。结果表明,针对不同的探头角度、传感器距离和温度,采用不同系数可实现高精度测量。此外,制作了一个物理隧道模型来验证用于无线隧道变形传感系统的RUI方法的新处理算法。测试结果表明,使用RUI方法时平均测量误差从7%降至3.75%。因此,可以得出结论,所提出的方法非常适合自动检测地铁隧道中的大变形事件等关键状况。