Abstract

Structural health monitoring (SHM) technology is a monitoring process and early warning method for the health status or damage of special workpiece structures by deploying sensors. In recent years, there have been many studies on SHM, such as ultrasonic, pulsed eddy current, optical fiber, magnetic powder, and other nondestructive testing technologies. Due to their sensor deployment, testing environment, power supply, and transmission line wiring mechanism, they bring problems such as detection efficiency, long-term monitoring, and unreliable systems. The combination of wireless sensing technology and intelligent detection technology is used to solve the above problems. Therefore, this paper studies the tag antenna smart sensor, which is used to characterize the extension of metal defects in SHM. Then, it presents a wireless passive three-dimensional sensing antenna, and simulations verify the feasibility of the antenna. The simulation results show that the antenna can characterize the two extension directions of depth and width of the metal surface structure smooth defect. At the same time, the antenna can characterize the position of smooth defects on the surface of metal structures relative to the antenna and then realize the smooth defect positioning.

Highlights

  • It is necessary that civil infrastructure applications must possess the necessary reliability and safety [1]

  • The purpose of this paper was to study the multi-directional expansion of metal defects by antennas

  • A 3D patch-bend dipole antenna with an operating frequency of 915 MHz was simulated using FR-4 epoxy substrate and analyzed by Ansys highfrequency structure simulator (HFSS) 15.0

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Summary

Introduction

It is necessary that civil infrastructure applications must possess the necessary reliability and safety [1]. The important load-bearing parts in this kind of engineering structure show structural fatigue caused by periodic load pressure and structural corrosion caused by harsh environments, especially those in longterm service and exposed environments. The aim is to achieve an effective online assessment of structural healthy life It has become an extremely important safety prediction measure for catastrophic failures caused by failure of important components. Structural defect monitoring is used to intuitively characterize structural damage This is used as an essential indicator for structural health and service life assessment

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