Stress Testing of Steel Suspender of Arch Bridge Model Based on Induced Magnetic Flux Method

Weng, Guangyuan; Yang, Liu; Zhu, Xiyu

doi:10.1155/2020/7470156

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Kaleta et al 30 used the magnetovision as a tool for the investigation of the fatigue process of ferromagnetics materials. Weng et al 31 , 32 established an online nondestructive stress testing method for arch bridge suspenders based on the principle of magnetic coupling. In the abovementioned previous studies, the relationship between inherent magnetism and structural steel stress has rarely been mentioned.…”

Section: Introductionmentioning

confidence: 99%

Study on the inherent magnetism and its relationship with mechanical properties of structural round steel

Yang

Liu

Wang

et al. 2022

Sci Rep

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Inherent magnetism is an important properties of ferromagnetic materials. In this study, the internal magnetic field intensity (IMFI) and internal magneto-mechanical effect (IMME) of Q390B in a structural field were investigated to detect and verify the inherent magnetism in structural settings. In the IMFI test, the magnetic flux was used to detect the change in magnetic field to verify the existence of magnetism. In the IMME test, a novel instrument was implemented to measure the magnetic variation in the Q390B specimen without magnetic flux. Based on the low frequency cyclic (LFC) tensile loading tests, the inherent magnetism was fully described. Experimental results indicate that IMME shows great potential and more efficiency in inherent magnetism studies and can be promoted in the near future.

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Section: Introductionmentioning

confidence: 99%

Study on the inherent magnetism and its relationship with mechanical properties of structural round steel

Yang

Liu

Wang

et al. 2022

Sci Rep

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Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data

Sun,

Zhao,

Liang

et al. 2024

Applied Sciences

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As a critical component of the transportation system, the safety of bridges is directly related to public safety and the smooth flow of traffic. This study addresses the aforementioned issues by focusing on the identification of bridge structure deterioration and the updating of finite element models, proposing a systematic research framework. First, this study presents a preprocessing method for bridge point cloud data and determines the parameter ranges for key algorithms through parameter tuning. Subsequently, based on the massive point cloud data, this research explores and optimizes the methods for identifying bridge cracks and spatial deformations, significantly enhancing the accuracy and efficiency of identification. On this basis, the particle swarm optimization algorithm is employed to optimize the key parameters in crack detection, ensuring the reliability and precision of the algorithm. Additionally, the study summarizes the methods for detecting bridge structural deformations based on point cloud data and establishes a framework for updating the bridge model. Finally, by integrating the results of bridge crack and deformation detection and combining Bayesian model correction and adaptive nested sampling methods, this research sets up the process for updating finite element model parameters and applies it to the analysis of actual bridge point cloud data.

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Monitoring and Analysis of Prestress Loss in Prestressed Box Girder Bridges Strengthened with External Prestressing

Guo,

Yang,

Tang

et al. 2024

Sensors

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To investigate the effects of long-term prestress loss on concrete box girders strengthened with external prestressing, a large-span box girder, in service for over 20 years and strengthened with external prestressing, was monitored for four months. Prestress loss in the longitudinal, vertical, and transverse directions of the box girder was calculated according to Chinese code requirements. Magnetic flux rope force transducers were used to monitor the prestress loss in the external prestressing cables. Fiber Bragg Grating (FBG) sensors were used to monitor deflection changes at the mid-span of the bridge. Finally, the effect of prestress loss in the longitudinal, vertical, and transverse tendons on mid-span deflection was investigated through simulations using ABAQUS software. The results show that instantaneous prestress loss accounts for most of the total loss compared to long-term loss, and that longitudinal prestress loss has the most significant effect on mid-span deflection. The impact of longitudinal prestress loss on deflection before and after strengthening was also compared. The downward deflection and up-ward arch caused by longitudinal tendon prestress loss were reduced after strengthening, con-firming the effectiveness of the external prestressing method.

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Stress Testing of Steel Suspender of Arch Bridge Model Based on Induced Magnetic Flux Method

Cited by 3 publications

References 24 publications

Study on the inherent magnetism and its relationship with mechanical properties of structural round steel

Study on the inherent magnetism and its relationship with mechanical properties of structural round steel

Structure Deterioration Identification and Model Updating for Prestressed Concrete Bridges Based on Massive Point Cloud Data

Monitoring and Analysis of Prestress Loss in Prestressed Box Girder Bridges Strengthened with External Prestressing

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