Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection
Metal magnetic memory testing (MMMT) is a nondestructive testing technique that can detect early signs of damage in components. Many scholars have studied the effect of uniaxial stress on the self-magnetic-leakage field (SMLF)’s strength. Nevertheless, there is still insufficient research on the com...
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MDPI AG
2022-11-01
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author | Sanqing Su Fuliang Zuo Wei Wang Xinwei Liu Ruize Deng Junting Li |
author_facet | Sanqing Su Fuliang Zuo Wei Wang Xinwei Liu Ruize Deng Junting Li |
author_sort | Sanqing Su |
collection | DOAJ |
description | Metal magnetic memory testing (MMMT) is a nondestructive testing technique that can detect early signs of damage in components. Many scholars have studied the effect of uniaxial stress on the self-magnetic-leakage field (SMLF)’s strength. Nevertheless, there is still insufficient research on the combined action of bending and shear. We studied the law of distribution of the magnetic signal,<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mo>Δ</mo><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, at different stress parts of a steel box girder and the quantitative relationship between the magnetic characteristic parameters and the external load. The results showed that the MMMT could accurately detect the early stress concentration zone (SCZ) and predict the final buckling zone of steel box girders. It could be judged that the corresponding parts of the steel box girder had entered the elastic-plastic working stage by the reverse change of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mo>Δ</mo><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>-<i>F</i> and<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mrow><mrow><mo>|</mo><mrow><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow><mo>|</mo></mrow></mrow><mrow><mi>a</mi><mo> </mo></mrow></msub></mrow></semantics></math></inline-formula>-<i>F</i> curve trends, this feature could be used as an early warning sign before the steel box girder was deformed or destroyed. The fitted<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mrow><mrow><mo>|</mo><mrow><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow><mo>|</mo></mrow></mrow><mrow><mi>a</mi><mi>v</mi><mi>e</mi><mo> </mo></mrow></msub></mrow></semantics></math></inline-formula>-<i>F</i> linear expression could be used as the expression between the magnetic signal and the shear capacity. All the evaluation methods were expected to provide a basis for effectively evaluating the stress state of steel box girders with the MMMT method. |
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spelling | doaj.art-270dcd18a87e4be7a110f08b036fc7ca2023-11-24T03:58:26ZengMDPI AGBuildings2075-53092022-11-011211183510.3390/buildings12111835Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory InspectionSanqing Su0Fuliang Zuo1Wei Wang2Xinwei Liu3Ruize Deng4Junting Li5Department of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDepartment of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDepartment of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDepartment of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDepartment of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDepartment of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaMetal magnetic memory testing (MMMT) is a nondestructive testing technique that can detect early signs of damage in components. Many scholars have studied the effect of uniaxial stress on the self-magnetic-leakage field (SMLF)’s strength. Nevertheless, there is still insufficient research on the combined action of bending and shear. We studied the law of distribution of the magnetic signal,<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mo>Δ</mo><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, at different stress parts of a steel box girder and the quantitative relationship between the magnetic characteristic parameters and the external load. The results showed that the MMMT could accurately detect the early stress concentration zone (SCZ) and predict the final buckling zone of steel box girders. It could be judged that the corresponding parts of the steel box girder had entered the elastic-plastic working stage by the reverse change of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mo>Δ</mo><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>-<i>F</i> and<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mrow><mrow><mo>|</mo><mrow><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow><mo>|</mo></mrow></mrow><mrow><mi>a</mi><mo> </mo></mrow></msub></mrow></semantics></math></inline-formula>-<i>F</i> curve trends, this feature could be used as an early warning sign before the steel box girder was deformed or destroyed. The fitted<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mrow><mrow><mo>|</mo><mrow><msub><mi>H</mi><mrow><mi>SF</mi></mrow></msub><mrow><mo>(</mo><mi mathvariant="normal">y</mi><mo>)</mo></mrow></mrow><mo>|</mo></mrow></mrow><mrow><mi>a</mi><mi>v</mi><mi>e</mi><mo> </mo></mrow></msub></mrow></semantics></math></inline-formula>-<i>F</i> linear expression could be used as the expression between the magnetic signal and the shear capacity. All the evaluation methods were expected to provide a basis for effectively evaluating the stress state of steel box girders with the MMMT method.https://www.mdpi.com/2075-5309/12/11/1835steel box girdermetal magnetic memory testing (MMMT)stress concentration zone (SCZ)magnetic characteristic parametersquantitative relationship |
spellingShingle | Sanqing Su Fuliang Zuo Wei Wang Xinwei Liu Ruize Deng Junting Li Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection Buildings steel box girder metal magnetic memory testing (MMMT) stress concentration zone (SCZ) magnetic characteristic parameters quantitative relationship |
title | Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection |
title_full | Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection |
title_fullStr | Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection |
title_full_unstemmed | Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection |
title_short | Magnetic Signal Characteristics in Critical Yield State of Steel Box Girder Based on Metal Magnetic Memory Inspection |
title_sort | magnetic signal characteristics in critical yield state of steel box girder based on metal magnetic memory inspection |
topic | steel box girder metal magnetic memory testing (MMMT) stress concentration zone (SCZ) magnetic characteristic parameters quantitative relationship |
url | https://www.mdpi.com/2075-5309/12/11/1835 |
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