基于金属磁记忆的弯曲工字钢梁的力-磁效应

doi:10.11896/cldb.22070065

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Abstract At present, the characterization of stress states and the assessment of damage based on the metal magnetic memory inspection method is widely applied, but the influence of the specimen size and the loading position on the inspection of flexural members is still unclear. In order to study the force-magnetic effect of flexural members, the numerical simulation was carried out by COMSOL multiphysics software, based on the magnetic memory inspection of the four-point bending steel I-beam. It was taken into consideration the initial defect and the angle between applied stress with magnetization. The influence of the effective length of the specimen on the magnetic signal was analyzed, combined with the effective field theory. It was proposed the magnetic characteristic parameters represent the damage and the loading position. The results show that the peak-to-peak value S of the magnetic signal increases significantly when the steel beam approaches the yielding state, and reaches the maximum when the steel beam reaches the maximum bearing capacity. When the beam yields and reaches the maximum bearing capacity, the peak-to-peak value S_w of the inspection line on the web decreases linearly and quadratically with the increase of the effective length, respectively. The peak-to-peak value S_f of the inspection line on the bottom flange decreases quadratically with the increase of the effective length of the beam when it yields or reaches the maximum bearing capacity. According to the magnetic characteristic parameters, It is defined the magnetic damage index D and the loading factor S_r. When the applied load on the steel beam exceeds 80% of its maximum bearing capacity, the unsafe stress state of the steel beam can be warned according to the D greater than 0.5. The loading factor S_r is approximately linearly related to the shear-span ratio λ of the steel beam, which can characterize the loading position.

Key words： steel I-beam metal magnetic memory finite element analysis damage characterization force-magnetic coupling

Published: 25 February 2024 Online: 2024-03-01

CLC number:

TG115.28

Fund:National Natural Science Foundation of China (52378314, 52278214), the Key Project of Natural Science Basic Research Program of Shaanxi Province (2022JZ-21), and the Research and Development Program of China Railway First Survey and Design Institute Group Co., Ltd. (Courtyard Department 20-58).

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	Articles by authors
	SU Sanqing
	DENG Ruize
	WANG Wei
	YI Shuchun
	ZUO Fuliang
	LIU Xinwei
	LI Junting

Cite this article:

SU Sanqing,DENG Ruize,WANG Wei, et al. Force-Magnetic Effect of Bending Steel I-beam Based on Metal Magnetic Memory[J]. Materials Reports, 2024, 38(4): 22070065-8.

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http://www.mater-rep.com/EN/10.11896/cldb.22070065 OR http://www.mater-rep.com/EN/Y2024/V38/I4/22070065

1 Zhang Z, Tong G S. Journal of Building Structures, 2021, 42(11), 51 (in Chinese).
张哲, 童根树. 建筑结构学报, 2021, 42(11), 51.
2 Cheng H G, Hu J J, Hu C. Journal of Railway Engineering Society, 2021, 38(11), 67 (in Chinese).
程海根, 胡钧剑, 胡晨. 铁道工程学报, 2021, 38(11), 67.
3 Masurkar F, Tse P. Ultrasonics, 2020, 108, 106036.
4 Li Y J, Wang Z F, Wang J, et al. Chinese Journal of Lasers, 2021, 48(16), 170 (in Chinese).
李亦佳, 王正方, 王静, 等. 中国激光, 2021, 48(16), 170.
5 Xu B S, Dong L H. Metal magnetic memory testing method in remanufacturing quality control, National Defense Industry Press, China, 2015 (in Chinese).
徐滨士, 董丽虹. 再制造质量控制中的金属磁记忆检测技术, 国防工业出版社, 2015.
6 Lu B B, Wang H D, Dong L H, et al. Materials Reports, 2021, 35(7), 7139 (in Chinese).
卢兵兵, 王海斗, 董丽虹, 等. 材料导报, 2021, 35(7), 7139.
7 Li C C, Dong L H, Wang H D, et al. Materials Reports, 2015, 29(11), 107 (in Chinese).
李冲冲, 董丽虹, 王海斗, 等. 材料导报, 2015, 29(11), 107.
8 Shi P P, Su S Q, Chen Z M. Journal of Nondestructive Evaluation, 2020, 39(2), 43.
9 Shui G S, Li C W, Yao K. International Journal of Applied Electromagnetics and Mechanics, 2015, 47(4), 1023.
10 Dong L H, Xu B S, Dong S Y, et al. NDT & E International, 2009, 42(4), 323.
11 Leng J C, Tian H X, Guo Y G, et al. Chinese Journal of Engineering, 2018, 40(5), 565 (in Chinese).
冷建成, 田洪旭, 郭亚光, 等. 工程科学学报, 2018, 40(5), 565.
12 Bao S, Liu X, Zhang D. Strain, 2015, 51(5), 370.
13 Huang H H, Yang C, Qian Z C, et al. Journal of Magnetism and Magnetic Materials, 2016, 416, 213.
14 Deng J Q, Xing H Y, Li J Y, et al. Journal of Materials Science and Engineering, 2019, 37(2), 277 (in Chinese).
邓加强, 邢鸿雁, 李建宇, 等. 材料科学与工程学报, 2019, 37(2), 277.
15 Chen H L, Wang C L, Zuo X Z. NDT & E International, 2017, 92, 82.
16 Yi S C, Wang W, Su S Q. International Journal of Applied Electromagnetics and Mechanics, 2015, 49(4), 547.
17 Su S Q, Yi S C, Wang W, et al. Insight, 2018, 60(7), 380.
18 Zhou J T, Zhang S H, Zhang H. China Civil Engineering Journal, 2021, 54(11), 1 (in Chinese).
周建庭, 张森华, 张洪. 土木工程学报, 2021, 54(11), 1.
19 Qiu J L, Zhou J T, Zhao S Y, et al. Engineering Structures, 2020, 209, 110168.
20 中国国家标准化管理委员会. GB/T 706-2016 热轧型钢, 中国标准出版社, 2016.
21 Shi P P. Quantitative study of micro-magnetic nondestructive testing for stress and defect in ferromagnetic materials. Ph. D. Thesis, Xidian University, China, 2017 (in Chinese).
时朋朋. 铁磁材料应力和缺陷的微磁检测定量化研究. 博士学位论文, 西安电子科技大学, 2017.
22 Ma X P, Su S Q, Wang W, et al. International Journal of Applied Electromagnetics and Mechanics, 2019, 60(2), 223.
23 Su S Q, Yi S C, Wang W, et al. International Journal of Applied Electromagnetics and Mechanics, 2017, 55(3), 409.
24 Jiles D C, Devine M K. Journal of Magnetism and Magnetic Materials, 1995, 140-144, 1881.
25 Jiles D C, Li L. Journal of Applied Physics, 2004, 95(11), 7058.
26 Schneider C S, Richardson J M. Journal of Applied Physics, 1982, 53(11), 8136.
27 Su S Q, Wei L X, Wang W, et al. International Journal of Applied Electromagnetics and Mechanics, 2020, 62(3), 501.