Abstract

Stress loss of prestressed steel strands of existing bridges influences their bearing capacity, so it is of great significance to realize the stress detection. A steel strand that has an inductive property is designed into the resonant circuit, which can realize the stress measurement of the steel strands by testing the resonant frequency. This method is a promising approach for the stress detection of the steel strands. Previous research found that structural stress made the permeability of steel strands change due to the influence of magnetoelastic effect. In the process, the length of steel strands is also changed. Therefore, further research needs to be done to verify the main influence parameter affecting the resonant frequency of the circuit. Furthermore, it is very important to know how the stress affects the resonant frequency to realize the detection of the prestressed force of the steel strands. Therefore, in this paper, the relationship between stress and relative permeability and length is analyzed theoretically, and the theory of stress frequency of steel strands is modified and verified by experiments. The stress-frequency experiments of steel strands and aluminum strands with great difference in relative permeability are carried out. Experiments on stress frequencies of 7-Ф15.20 mm steel strands with different lengths are carried out. The influence of length and permeability parameters on resonance frequency is analyzed. The experimental results show that under the same conditions, the resonant frequencies of steel strands and aluminum strands are almost the same on LC electric circuits, and the resonant frequency decreases linearly with the increase of the natural length of the component and increases linearly with the increase of stress. Consequently, compared with the influence of length change on LC electromagnetic resonance frequency, the relative permeability of the stress change component can be ignored. The stress changes the resonant frequency mainly by changing the length of the strands.

Highlights

  • Prestressed concrete structure is to use steel strand to exert pressure on the structure before it is subjected to external load, and the resulting prestressed state is used to reduce or offset the tensile stress caused by the external load

  • Many nondestructive testing methods have been tried to apply to the prestress detection of steel strands, but no one has successfully applied to the stress detection of steel strands of prestressed concrete bridges

  • Based on the LC resonant circuit, an experimental study on stress detection of steel strands is carried out in this paper. e circuit model diagram is shown in Figure 1, the initial inductance in the circuit is simplified to a fixed inductance, and steel strands are simplified as an inductance element. ey are connected in series with the inherent inductance in the circuit and in parallel with the capacitor

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Summary

Introduction

Prestressed concrete structure is to use steel strand to exert pressure on the structure before it is subjected to external load, and the resulting prestressed state is used to reduce or offset the tensile stress caused by the external load. Experiments show that the use of fiber Bragg grating embedded sensors can effectively evaluate the stress loss of steel strands It needs to be embedded in the concrete structure in advance, which has limitations for the detection of the stress loss of the steel strands of the existing prestressed bridge; ultrasound-guided wave method [3, 4] is a common nondestructive testing method, which is widely used to detect crack lines on metal structures and corrosion defects on steel plates. Duan et al [6,7,8,9,10,11], based on magnetoelastic effect, has carried out an experimental study on stress monitoring of the high-strength steel wire, reinforced bar, and prestressed steel strands. Compared with the influence of the length, the influence of the change of permeability on the resonant frequency of the circuit can be neglected

Theoretical Model
LCiLt e current expression is as follows: iLt
Experiments
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