Quantitative measurement of stress in steel bars under repetitive tensile load based on force-magnetic coupling effect

Tong, Kai; Zhou, Jianting; Zhao, Ruoxi; Ying, Huajian; Zhang, Senhua

doi:10.1016/j.measurement.2022.111820

Cited by 14 publications

(2 citation statements)

References 36 publications

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“…Huang et al [100] and Chen et al [101] carried out the axial tensile test of Q235 steel and explored the relationship between the magnetic signal and the steel fatigue load and the feasibility of magnetic flux leakage detection to predict structural damage. Tong et al [102,103] measured the magnetic field data of HRB400 steel bar at different stress stages and obtained the coupling effect of elastic load and plastic deformation on magnetic memory signal. Zhang et al [104] carried out the tensile-tensile fatigue test on a defective steel plate.…”

Section: Grooving Methodsmentioning

confidence: 99%

A Review on Damage Monitoring and Identification Methods for Arch Bridges

et al. 2023

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The damage monitoring and identification of arch bridges provide an important means to ensure the safe operation of arch bridges. At present, many methods have been developed, and the applicability and effectiveness of these methods depend on the damage type, structural configuration and available data. To guide the practical application of these methods, a systematic review is implemented in this paper. Specifically, the damage monitoring and identification methods of arch bridges are divided into the damage monitoring of local diseases and damage identification of overall performance. Firstly, the research on the damage monitoring of the local diseases of arch bridges is reviewed. According to the disease type, it is divided into four categories, including suspender inspection, void monitoring, stress detection and corrosion detection. For each disease, this paper analyzes the principles, advantages and shortcomings of various methods. Then, the damage identification methods of the overall performance of arch bridges are reviewed, including masonry arch bridges, steel arch bridges, reinforced concrete arch bridges and concrete-filled steel tubular arch bridges. And the commonly used damage indexes of damage identification methods are summarized. This review aims to help researchers and practitioners in implementing existing damage detection methods effectively and developing more reliable and practical methods for arch bridges in the future.

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Section: Grooving Methodsmentioning

confidence: 99%

A Review on Damage Monitoring and Identification Methods for Arch Bridges

et al. 2023

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“…Liu quantitatively studied the response of magnetic induction intensity to stress under noncoaxial weak magnetic incentive conditions [14]. Tong quantitatively analyzed the relationship between tensile stress and magnetic signal ycomponent, based on the magneto-mechanical coupling effect [15]. Gong et al defined a dimensionless parameter As to invert the stress level of ferromagnetic materials based on magnetic memory signals under different stress states [16].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on strengthening the magneto-mechanical coupling effect of X80 steel by weak magnetic excitation

He,

Liao,

Liao

et al. 2024

Meas. Sci. Technol.

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Current magnetic stress detection techniques are significantly impacted by external noise signals. The magnetic stress detection technology under excitation magnetic fields is proposed to weaken the external noise signals on the detection results. In this study, the uniaxial tensile magnetic signal testing system with the excitation magnetic field was built. The enhancement of the weak magnetic excitation on magnetic signals has been quantitatively analyzed and the concept of optimal weak excitation magnetic field has been proposed. The response law between triaxial magnetic induction intensity and stress under the excitation magnetic field is determined. The results indicate that the weak excitation magnetic field significantly enhances the magnetic induction signal intensity, more importantly, the linearity of the magnetic signal and stress response is also enhanced. Furthermore, the optimal excitation magnetic field under uniaxial stress states is 600 A/m, and the corresponding stress-magnetic change rate is 0.002 Oe/MPa. This study provides a theoretical basis for the long-distance detection of pipelines under weak magnetic excitation. The long-distance magnetic stress detection results of pipelines will become more accurate with the weak magnetic excitation which has a good engineering significance.

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