Defect investigation and replacement implementation of bearings for long-span continuous box girder bridges under operating high-speed railway networks: a case study

Ma, Fengbo; Li, Huile; Hou, Shitong; Kang, Xuecheng; Wu, Gang

doi:10.1080/15732479.2020.1867589

Cited by 11 publications

(2 citation statements)

References 37 publications

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“…Against the backdrop of an aging infrastructure, the notable rise in trafc volume and load has resulted in cracking, severe compression deformation, and even disengagement of the rubber bearings in numerous bridges [1]. Tese bearing diseases severely restricted the free deformation of the structure, causing the structure to generate additional internal forces on the bearing capacity of the bridge [2]. Te standard method of bearing replacement is to jack up the main girder, transfer the load from the bearing to a jack, subsequently replace the bearing, and ultimately transfer the load from the jack back to the bearing by dropping the girder [3].…”

Section: Introductionmentioning

confidence: 99%

Fast Extraction Algorithm of Planar Targets Based on Point Cloud Data for Monitoring the Synchronization of Bridge Jacking Displacements

Liang,

Zhang,

Zhang

et al. 2024

Structural Control and Health Monitoring

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Transverse synchronization of vertical displacements of all jacking-up points is an important monitoring indicator to replace bearings in assembled multigirder bridges during the jacking phase. Currently, using target paper to identify the 3D coordinates of control points reduces the complexity of monitoring operations and improves the stability of data precision. However, the existing planar target locating methods have low accuracy, inefficiency, and subjectivity, which seriously hinders the construction process of bearing replacement. Accurately obtaining the center coordinates of multiple targets from a point cloud in a short monitoring period remains a challenge. This study proposes a high-precision automated algorithm to extract target center points in low-density point clouds to quickly calculate real target center points. First, we construct a standard point cloud model of the target papers for scanning, including color and geometric features. Then, we extract the measured point cloud of the typical jacking operation phase based on the reflection intensity and size information. Next, we map the intensity values of the measured point cloud into the color channel and register the measured point cloud with its standard point cloud model using the normal vector estimation and colored ICP algorithms. Finally, we extract the center point of the measured targets. Numerical experiments and engineering test results show that the proposed method converges quickly with high precision and good robustness, which saves 91.4% of the time compared with the traditional method. In general, this research can provide effective technical support for 3D laser scanning in monitoring the operation phase of bridge jacking.

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Section: Introductionmentioning

confidence: 99%

Fast Extraction Algorithm of Planar Targets Based on Point Cloud Data for Monitoring the Synchronization of Bridge Jacking Displacements

Liang,

Zhang,

Zhang

et al. 2024

Structural Control and Health Monitoring

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“…To clarify the effect of varying the parameters of BSs on the dynamic response of vehicle-bridge coupling vibration, many researchers have conducted active experiments [19][20][21][22][23][24][25][26][27]. Through field testing and numerical simulation, Roeder et al [28] pointed out that the bearing force of a BS near the beam end of a steel box girder was obviously affected by the vehicle-induced impact effect, and that BSs near the beam end were susceptible to fatigue failure under vehicle impact loads.…”

Section: Introductionmentioning

confidence: 99%

Impact of Variable Parameters of Expansion Joints and Bearing Supports on the Vehicle-Induced Vibration of Curved Girder Bridges

Zheng,

Lu,

Huang

et al. 2024

Buildings

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To study how varying the parameters of expansion joints and bearing supports (E-B parameters) affects the dynamic response of a coupled vehicle–bridge system for curved girder bridges, a dynamic response analysis method for the coupled vehicle–joint (bearing)–bridge system, which takes into account centrifugal forces, was proposed and verified. Subsequently, taking a continuous curved box girder bridge as the prototype, the influence of the E-B parameters on the vehicle-induced dynamic response of the curved girder bridge was explored. The results showed that the dynamic amplification factor (DAF) of the middle beam of the expansion joint (DAF-EJ) and the main girder of the curved bridge (DAF-MG) were both significantly influenced by the E-B parameters. When there were height differences between the middle beam and side beam in the EJ, the DAF-EJ obviously varied, and the DAF-MG increased. When the EJ was damaged, the impact effect of the vehicle on the bearing support increased. The DAF-EJ and DAF-MG both increased with the decrease of the vertical support stiffness of the bearing support. The DAF-EJ was greatly affected by the single-support void at the near-slit end of the lane. The DAF-MGs at the beam end, the 1/4 point and 1/2 point of the first span, and the 1/2 point of the second span, were significantly affected by the single-support void near the measuring point. Compared with the single-support void, the DAF-EJ and DAF-MG more significantly increased under the double-support void. Variation in the height difference of the EJ had a more significant effect on the DAF-EJ and DAF-MG at the beam end, while a vertical stiffness reduction in the bearing support had a more significant effect on the DAF-MG.

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Numerical Investigation of the Vibration Performance of Elastically Supported Bridges Under a Moving Vehicle Load Based on Impact Factor

Feng

Zhang

et al. 2022

Int J Civ Eng

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Defect investigation and replacement implementation of bearings for long-span continuous box girder bridges under operating high-speed railway networks: a case study

Cited by 11 publications

References 37 publications

Fast Extraction Algorithm of Planar Targets Based on Point Cloud Data for Monitoring the Synchronization of Bridge Jacking Displacements

Fast Extraction Algorithm of Planar Targets Based on Point Cloud Data for Monitoring the Synchronization of Bridge Jacking Displacements

Impact of Variable Parameters of Expansion Joints and Bearing Supports on the Vehicle-Induced Vibration of Curved Girder Bridges

Numerical Investigation of the Vibration Performance of Elastically Supported Bridges Under a Moving Vehicle Load Based on Impact Factor

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