Preventive maintenance on welded connection joints in aged steel railway bridges

Lin, Weiwei; Yoda, Teruhiko; Taniguchi, Nobuyuki; Satake, Shinya; Kasano, Hideyuki

doi:10.1016/j.jcsr.2013.10.012

Cited by 20 publications

(3 citation statements)

References 7 publications

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“…Therefore, GFRP plates were assumed to have no significant contribution to the linear-elastic response of the structure and were therefore not included in the model. A similar modeling method has been employed in several previous studies by the authors (Lin et al, 2013(Lin et al, , 2014(Lin et al, , 2015, 2017a and 2017b) and will be validated by comparing the numerical predictions with the in-service monitoring results obtained from this bridge.…”

Section: Model Buildingmentioning

confidence: 96%

Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing

et al. 2019

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Half-through steel plate girder bridges are widely used across the U.K.'s railway network. However, very few studies have investigated their real in-service behaviour. Concurrently, the use of advanced sensor systems, such as those utilizing fibre-optic sensors, have begun to find widespread use in structural health monitoring due to their high accuracy and long-term stability and durability. In this paper, the real performance of a newly constructed skewed half-through plate girder railway-bridge was assessed through the use of an integrated fiber optic monitoring system installed during the bridges' construction. Monitoring data recorded during the passage of 12 separate trains consisted of strains measured along the lengths of the main steel plate girders and cross beams. On the basis of available design and construction information, a 3-D finite element model capable of simulating the railway bridge's response was constructed and used to investigate and provide comparisons with monitoring results of the performance of such bridges under passing trains. The influence of track cant on load distribution between the two main girders was discussed, and the live load utilisation percentage of the main girders was estimated to be approximately 37% of its design capacity. In addition, the effect of different transverse cross beam end-connection details (pinned or moment connected) and the influence of axle load distribution through track ballast on the overall Manuscript Click here to download Manuscript manuscript.docx response of the bridge structure were evaluated. The results obtained in this study have not only led to the establishment of a comprehensive performance baseline for the newly constructed bridge for long-term condition monitoring, but also may be used for improving both the design and in-service structural evaluation of such bridges.

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Section: Model Buildingmentioning

confidence: 96%

Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing

et al. 2019

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“…where the maximum bond stress f bo is taken as 2.4 N/mm 2 by considering the effect of rubber-latex mortar (Lin et al, 2013b, 2013c, 2014c; Lin and Yoda, 2013). The corresponding slip to peak bond stress, Δ u t 0 , is taken as 0.06 mm as suggested in Dörr’s (1980) model.…”

Section: Numerical Simulationmentioning

confidence: 99%

Renovation of existing steel railway bridges: Field test and numerical simulation

Lin

Taniguchi

Yoda

et al. 2017

Advances in Structural Engineering

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Renovation of the aged steel railway structures is of vital importance due to their long service life after completion. A strengthening method for aged steel railway bridges by using rubber-latex mortar, glass fiber-reinforced polymer plates, lightweight rapid hardening concrete, and reinforcing bars was introduced in this article. To confirm the real effect of the present strengthening method, field tests were performed on two aged steel railway bridges that have been in service for 87 and 61 years, respectively. Stress variations on the mid-span section of the railway bridge due to the running trains were measured in the field test, and the stress reduction effects as well as the load redistribution effects of the present strengthening method were also confirmed. Three-dimensional finite-element models were built, and the numerical results were in good agreement with the field test results. Besides, structural vibration and noise levels of both strengthened and un-strengthened railway bridges were measured, and the noise reduction effect of the present method was confirmed in the field tests. In addition, further nonlinear analyses were performed, and the applied load-displacement relationships as well as the load-normal longitudinal strain curves of the aged structural steel, the glass fiber-reinforced polymer plates and the rapid hardening concrete, were given. Both experimental and numerical results indicate that the present renovation method can greatly enhance the stiffness and reduce the stress levels of steel members, resulting in the extension of the residual service life of the aged steel railway bridges.

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“…The design laws in the previous century might not be suitable for the increasing traffic loads nowadays [1]. As a result, monitoring a bridge's health condition and providing practical maintenance measurements are of great importance for engineers [2][3][4][5]. As a key task in bridge-health monitoring, damage detection techniques interest many researchers worldwide.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Frequency-Domain Dimension Reduction for A2M-Based Bridge Damage Detection Using Accelerations of Moving Vehicles

Lan

Lin

2023

Materials

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Recent decades have witnessed a rise in interest in bridge health monitoring utilizing the vibrations of passing vehicles. However, existing studies commonly rely on constant speeds or tuning vehicular parameters, making their methods challenging to be used in practical engineering applications. Additionally, recent studies on the data-driven approach usually need labeled data for damage scenarios. Still, getting these labels in engineering is difficult or even impractical because the bridge is typically in a healthy state. This paper proposes a novel, damaged-label-free, machine-learning-based, indirect bridge-health monitoring method named the assumption accuracy method (A2M). Initially, the raw frequency responses of the vehicle are employed to train a classifier, and K-folder cross-validation accuracy scores are then used to calculate a threshold to specify the bridge’s health state. Compared to merely focusing on low-band frequency responses (0–50 Hz), utilizing full-band vehicle responses can significantly improve the accuracy, meaning that the bridge’s dynamic information exists in the higher frequency ranges and can contribute to detecting bridge damage. However, raw frequency responses are generally in a high-dimensional space, and the number of features is much greater than that of samples. To represent the frequency responses via latent representations in a low-dimension space, appropriate dimension-reduction techniques are therefore, needed. It was found that principal component analysis (PCA) and Mel-frequency cepstral coefficients (MFCCs) are suitable for the aforementioned issue, and MFCCs are more damage-sensitive. When the bridge is in a healthy condition, the accuracy values obtained using MFCCs are primarily dispersed around 0.5, but following the occurrence of damage, they increased significantly to 0.89–1.0 in this study.

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Preventive maintenance on welded connection joints in aged steel railway bridges

Cited by 20 publications

References 7 publications

Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing

Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing

Renovation of existing steel railway bridges: Field test and numerical simulation

Investigation of Frequency-Domain Dimension Reduction for A2M-Based Bridge Damage Detection Using Accelerations of Moving Vehicles

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