Engineering Research Center for Large Highway Structure Safety of the Ministry of Education, Chang'an University, Xi'an 710064, China.
State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel). 2020 Jan 8;20(2):364. doi: 10.3390/s20020364.
A steel strand is widely used in long span prestressed concrete bridges. The safety and stability of a steel strand are important issues during its operation period. A steel strand is usually subjected to various types of prestress loss which loosens the anchorage system, negatively impacting the stability of the structure and even leading to severe accidents. In this paper, the authors propose a wavelet packet analysis method to monitor the looseness of the wedge anchorage system by using stress wave-based active sensing. As a commonly used piezoceramic material, lead zirconate titanate (PZT) is employed with a strong piezoelectric effect. In the proposed active sensing approach, PZT patches are used as sensors and actuators to monitor the steel strand looseness. The anchorage system consists of the steel strand, wedges and barrel, which forms two different direct contact surfaces to monitor the tension force. PZT patches are pasted on the surface of each steel strand, corresponding wedge and barrel, respectively. Different combinations of PZTs are formed to monitor the anchoring state of the steel strand according to the position of the PZT patches. In this monitoring method of two contact surfaces, one PZT patch is used as an actuator to generate a stress wave and the other corresponding PZT patch is used as a sensor to detect the propagated waves through the wedge anchorage system. The function of these two PZTs were exchanged with the changing of transmission direction. The wavelet packet analysis method is utilized to analyze the transmitted signal between PZT patches through the steel strand anchorage system. Compared with the wavelet packet energy of received signals under different PZT combinations, it could be found that the wavelet packet energy increased with the increasing of anchorage system tightness. Therefore, the wavelet packet energy of received signal could be used to monitor the tightness of the steel strand during operation. Additionally, the wavelet packet energy of the received signals are different when the same PZT combination exchanges the energy transfer direction. With the comparison on the received signals of different combinations of PZTs, the optimal energy transfer path corresponding to different contact surfaces of the steel strand could be determined and the optimal experimental results are achieved.
钢绞线在大跨度预应力混凝土桥梁中得到广泛应用。在其使用过程中,钢绞线的安全性和稳定性是重要问题。钢绞线通常会受到各种类型的预应力损失,这些损失会导致锚固系统松动,从而对结构的稳定性产生负面影响,甚至导致严重事故。在本文中,作者提出了一种基于小波包分析的方法,通过基于应力波的主动传感来监测楔形锚固系统的松动情况。作为一种常用的压电陶瓷材料,锆钛酸铅(PZT)具有很强的压电效应。在提出的主动传感方法中,PZT 贴片被用作传感器和致动器来监测钢绞线的松动情况。锚固系统由钢绞线、楔形块和筒组成,它们形成两个不同的直接接触表面来监测张紧力。PZT 贴片分别粘贴在每根钢绞线、对应的楔形块和筒的表面上。根据 PZT 贴片的位置,形成不同的 PZT 组合来监测钢绞线的锚固状态。在这种双接触表面的监测方法中,一个 PZT 贴片用作致动器来产生应力波,另一个相应的 PZT 贴片用作传感器来检测通过楔形锚固系统传播的波。这两个 PZT 的功能随着传输方向的变化而交换。利用小波包分析方法对通过钢绞线锚固系统的 PZT 贴片之间的传输信号进行分析。与不同 PZT 组合下接收到的信号的小波包能量相比,可以发现,随着锚固系统紧固度的增加,小波包能量增加。因此,可以利用接收到的信号的小波包能量来监测钢绞线在运行过程中的紧固度。此外,当同一 PZT 组合交换能量传递方向时,接收到的信号的小波包能量也会不同。通过对不同 PZT 组合的接收到的信号进行比较,可以确定与钢绞线不同接触表面对应的最佳能量传递路径,并获得最佳实验结果。