Stress-magnetization of the state of flange damage to a bridge steel box beam based on magnetic memory detection

被引：0

作者：

Su S.-Q. ^{[1
]}

Qin Y.-L. ^{[1
]}

Wang W. ^{[1
]}

Zuo F.-L. ^{[1
]}

Deng R.-Z. ^{[1
]}

Liu X.-W. ^{[1
]}

机构：

[1] School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an

来源：

Gongcheng Kexue Xuebao/Chinese Journal of Engineering | 2022年 / 44卷 / 05期

关键词：

Damage to a steel box beam; Finite element method; Metal magnetic memory; Quantitative assessment; Stress-magnetic coupling;

D O I：

10.13374/j.issn2095-9389.2020.11.10.00214

中图分类号：

学科分类号：

摘要：

Metal magnetic memory detection technology has been widely studied because it can identify damage to ferromagnetic components quickly and conveniently, and it is considered to have the ability to identify hidden damage. To promote the application of metal magnetic memory technology in the damage detection of a bridge steel box beam, a static bending test on the steel box beam of the bridge was performed, and the magnetic signal distribution of the upper flange with the most severe deformation was extracted. The quantitative relationship between the stress in the damaged region and magnetic signal or magnetic signal gradient was established, and an approach for characterizing the stress and damage state of the steel beam was proposed using the magnetic field gradient index. The results show that the magnetic signal curve of the upper flange is opposite to that of the stress change form, and the magnetic signal curve reverses to a negative value after entering the plastic state and increases with the stress change speed, so the component can be judged to enter the plastic state and soon be damaged. The maximum value of the magnetic field gradient curve appears in the position with the most severe damage, and with the increase in the load, the maximum value point of the magnetic gradient constantly moves to the middle of the steel beam; thus the early warning of the failure state can be conducted. The relationship curve between the magnetic field gradient and stress can obviously distinguish the entire stress process of the component, which includes four states: initial, yield, plasticity, and damage. The stress state and damage state of components can be characterized using the magnetic field gradient index. This study can provide a reference and basis for the application of metal magnetic memory detection technology in the quantitative assessment and early warning of the damage status of bridge steel box beams. Copyright ©2022 Chinese Journal of Engineering. All rights reserved.

引用

页码：900 / 910

页数：10

共 26 条

[1] Chen J B., Research on Mechanical Performance of Steel Box Girder of a Viaduct Reconstruction Project, (2009)
[2] Yao N., Research on Relative Methods of Damage Inspecting and Safety Appraisal of Bridge Steel Structures in Service, (2009)
[3] Xu B S, Dong L H., Metal Magnetic Memory Testing Method in Remanufacturing Quality Control, (2015)
[4] Shi P P., Quantitative Study of Micro-Magnetic Nondestructive Testing for Stress and Defect in Ferromagnetic Materials, (2017)
[5] Bulte D P, Langman R A., Origins of the magnetomechanical effect, J Magn Magn Mater, 251, 2, (2002)
[6] Dubov A A., A study of metal properties using the method of magnetic memory, Met Sci Heat Treat, 39, 9, (1997)
[7] Xing H Y, Xu M Q, Li J W., Magnetic Memory Testing Technology and Engineering Application, (2011)
[8] Su S Q, Liu X W, Wang W, Et al., Progress and key problems in the research on metal magnetic memory testing technology, Chin J Eng, 42, 12, (2020)
[9] Shi P P, Su S Q, Chen Z M., Overview of researches on the nondestructive testing method of metal magnetic memory: Status and challenges, J Nondestruct Eval, 39, 2, (2020)
[10] Qian Z C, Huang H H, Han G, Et al., Review on metal magnetic memory detection technology in remanufacturing and case study in engineering, J Mech Eng, 54, 17, (2018)

← 1 2 3 →