A Stress Measurement Method for Steel Strands Based on LC Oscillation
The prestress loss is one of the main factors affecting the safety of prestressed concrete structure. While the detecting signals like sound and light are difficult to spread in steel strands, there is no effective method for prestress detection of the bonded prestressed steel strands in existing st...
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Published in: | Advances in materials science and engineering Vol. 2018; no. 2018; pp. 1 - 8 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Cairo, Egypt
Hindawi Publishing Corporation
01-01-2018
Hindawi Hindawi Limited |
Subjects: | |
Online Access: | Get full text |
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Summary: | The prestress loss is one of the main factors affecting the safety of prestressed concrete structure. While the detecting signals like sound and light are difficult to spread in steel strands, there is no effective method for prestress detection of the bonded prestressed steel strands in existing structures yet. In this paper, taking into consideration that the electromagnetic oscillation characteristic can make the signal propagate effectively on the bonded prestressed steel strands, a nondestructive prestress detection method based on the electromagnetic effect to detect oscillation frequency is proposed. In a detection circuit, the steel strands are simulated as an inductance component, in which an induced electromagnetic signal passes through the steel strands to form resonance. And then, a frequency meter is used to detect the oscillation frequency of the resonant circuit. The oscillation frequency is supposed to have relationship with the prestress loading on the steel strands. A section of steel strands with a length of 1.2 m is adopted to test the correlation of stress and oscillation frequency. Both the theoretical and experimental results show that the resonant frequency of the circuit decreases with the increase of the stress of the strand and is linear in a certain range. |
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ISSN: | 1687-8434 1687-8442 |
DOI: | 10.1155/2018/1584903 |