An intelligent monitoring method and its experiment for bridge bearing

Liu, Qiang; Li, Guangming; Jiang, Ruijuan; Fang, Yu; Gai, Weiming

doi:10.2991/iccte-16.2016.106

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Agrawal et al [ 7 ] proposed schemes that use combinations of linear variable differential transformers, pressure sensors, accelerometers, thermocouples, and fibre optic sensors. Other schemes include fibre Bragg grating displacement sensors for bearing condition monitoring [ 12 ], piezoresistive sensors for bearing stress distribution measurement [ 13 ], and polyvinylidene fluoride polymer film−based sensors for vertical reaction measurement [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Self-Sensing Rubber for Bridge Bearing Monitoring

Orfeo

Tubaldi

McAlorum

et al. 2023

Sensors

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Elastomeric bearings are widely used in bridges to support the superstructure, to transfer loads to substructures, and to accommodate movements induced by, for example, temperature changes. Bearing mechanical properties affect the bridge’s performance and its response to permanent and variable loadings (e.g., traffic). This paper describes the research carried out at Strathclyde towards the development of smart elastomeric bearings that can be used as a low−cost sensing technology for bridge and/or weigh−in−motion monitoring. An experimental campaign was performed, under laboratory conditions, on various natural rubber (NR) specimens enhanced with different conductive fillers. Each specimen was characterized under loading conditions that replicated in−situ bearings to determine their mechanical and piezoresistive properties. Relatively simple models can be used to describe the relationship between rubber bearing resistivity and deformation changes. Gauge factors (GFs) in the range between 2 and 11 are obtained, depending on the compound and the applied loading. Experiments were also carried out to show that the developed model can be used to predict the state of deformation of the bearings under random loadings of different amplitudes that are characteristic of the passage of traffic over a bridge.

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Section: Introductionmentioning

confidence: 99%

Self-Sensing Rubber for Bridge Bearing Monitoring

Orfeo

Tubaldi

McAlorum

et al. 2023

Sensors

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“…However, once the hydraulic pressure entered the steel, the data drifted. Liu et al [17] and Hang et al [18] showed that based on the original structure and mechanical properties of a pot bearing, the internal stress distribution of the bearing was measured by built-in flexible thin-film pressure sensors. The pressure resistance varied with pressure, but the film material was very sensitive to changes in temperature and was prone to signal drift and hysteresis.…”

Section: Introductionmentioning

confidence: 99%

Research on the Mechanical Properties and Temperature Compensation of an Intelligent Pot Bearing for a Pipe-Type Welding Strain Gauge

Deng,

Zhang,

Ning

et al. 2023

Sensors

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As an important component connecting the upper and lower structures of a bridge, bridge bearings can reliably transfer vertical and horizontal loads to a foundation. Bearing capacity needs to be monitored during construction and maintenance. To create an intelligent pot bearing, a portable small spot welding machine is used to weld pipe-type welding strain gauges to the pot bearing to measure strain and force values. The research contents of this paper include the finite element analysis of a basin bearing, optimal arrangement of welding strain gauges, calibration testing, and temperature compensation testing of the intelligent basin bearing of the welding strain gauges. Polynomial fitting is used for the fitting and analysis of test data. The results indicate that the developed intelligent pot bearing has a high-precision force measurement function and that after temperature compensation, the measurement error is within 1.8%. The intelligent pot bearing has a low production cost, and the pipe-type welding strain gauges can be conveniently replaced. The novelty is that the bearing adopts a robust pipe-type welding strain gauge and that automatic temperature compensation is used. Therefore, the research results have excellent engineering application value.

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A silanized MCNT/TPU-based flexible strain sensor with high stretchability for deformation monitoring of elastomeric isolators for bridges

Yuan

Zhang

et al. 2022

Construction and Building Materials

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An intelligent monitoring method and its experiment for bridge bearing

Cited by 3 publications

References 5 publications

Self-Sensing Rubber for Bridge Bearing Monitoring

Self-Sensing Rubber for Bridge Bearing Monitoring

Research on the Mechanical Properties and Temperature Compensation of an Intelligent Pot Bearing for a Pipe-Type Welding Strain Gauge

A silanized MCNT/TPU-based flexible strain sensor with high stretchability for deformation monitoring of elastomeric isolators for bridges

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