Abstract

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.

Highlights

  • A steel strand is widely used in prestressed structures due to beneficial features such as a large cross-section area, softness and convenient location, high strength and low relaxation

  • The wavelet packet energy of two transmission modes of the same PZT combination is different, and the difference increases with the increase of the tensile force

  • Monitoring data of two direct contact surfaces of the wedge anchorage system indicated that the wavelet packet energy of two transmission modes of the same PZT combination is different, and wavelet packet energy increases with the increase of anchoring tightness of the steel strand

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Summary

Introduction

A steel strand is widely used in prestressed structures due to beneficial features such as a large cross-section area, softness and convenient location, high strength and low relaxation. As a skeleton component in the prestressed structure, the tension of the prestressed steel strand directly affects the Sensors 2020, 20, 364; doi:10.3390/s20020364 www.mdpi.com/journal/sensors. Due to the tensioning process, material properties and environmental conditions, prestress loss will occur in the steel strands, which will reduce the bearing capacity of the structure and bring potential or even serious harm to the overall safety of the structure [1,2]. Many methods can only detect the accessible components, such as external prestressed steel strands in concrete or bridge cables, and their application scope is greatly limited. Moustafa [18] introduced fractal theory to evaluate the corrosion of steel strands through the fractal characteristics of guided wave signals under different degrees of corrosion, and proposed an outlier algorithm to improve the accuracy of the corrosion detection method.

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