Reference free method for real time monitoring of bridge deflections

Helmi, Karim; Taylor, Tomaro; Zarafshan, Ali; Ansari, Farhad

doi:10.1016/j.engstruct.2015.09.002

Cited by 62 publications

(32 citation statements)

References 21 publications

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“…In [31,32], the authors instrumented a railway bridge with QA-750 accelerometers to measure rotations at five locations along the bridge span. Using this [34], they calculated the midspan deflections of the bridge deck. Calculated midspan deflections were later validated with deflections measured with an optical camera system.…”

Section: (4)mentioning

confidence: 99%

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

O’Brien

Hester

Huseynov

et al. 2020

J Civil Struct Health Monit

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Bridge Weigh-in-Motion (B-WIM) systems use the bridge response under a traversing vehicle to estimate its axle weights. The information obtained from B-WIM systems has been used for a wide range of applications such as pre-selection for weight enforcement, traffic management/planning and for bridge and pavement design. However, it is less often used for bridge condition assessment purposes which is the main focus of this study. This paper presents a bridge damage detection concept using information provided by B-WIM systems. However, conventional B-WIM systems use strain measurements which are not sensitive to local damage. In this paper the authors present a B-WIM formulation that uses rotation measurements obtained at the bridge supports. There is a linear relationship between support rotation and axle weight and, unlike strain, rotation is sensitive to damage anywhere in the bridge. Initially, the sensitivity of rotation to damage is investigated using a hypothetical simply supported bridge model. Having seen that rotation is damage-sensitive, the influence of bridge damage on weight predictions is analysed. It is shown that if damage occurs, a rotation-based B-WIM system will continuously overestimate the weight of traversing vehicles. Finally, the statistical repeatability of ambient traffic is studied using real traffic data obtained from a Weigh-in-Motion site in the U.S. under the Federal Highway Administration’s Long-Term Pavement Performance programme and a damage indicator is proposed as the change in the mean weights of ambient traffic data. To test the robustness of the proposed damage detection methodology numerical analysis are carried out on a simply supported bridge model and results are presented within the scope of this study.

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Section: (4)mentioning

confidence: 99%

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

O’Brien

Hester

Huseynov

et al. 2020

J Civil Struct Health Monit

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“…Deflection is derived from the method presented by [49], who proposed a procedure to calculate deflection based on accelerometer and strain gauge measurements. The procedure allows for the calculation of deflection using accelerometer readings only if the bridge is instrumented with a sufficient number of inclination sensors.…”

Section: Deflection Measurementsmentioning

confidence: 99%

Tracking bridge tilt behaviour using sensor fusion techniques

Faulkner

Wang

Huseynov

2020

J Civil Struct Health Monit

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The resilience of the built environment to extreme weather events is fundamental for the day-today operation of our transport network, with scour representing one of the biggest threats to bridges built over flowing water. Condition monitoring of the bridge using a structural health monitoring system enhances resilience by reducing the time needed to return the bridge to normal use by providing timely information on structural condition and safety. The work presented in this report discusses use of rotational measurements in structural health monitoring. Traditionally tiltmeters (which can be a form of DC accelerometer) are used to measure rotation but are known to be affected by dynamic movements, while gyroscopes react quickly to dynamic motion but drift over time. This review will introduce gyroscopes as a complementary sensor for accelerometer rotational measurements and use sensor fusion techniques to combine the measurements from both sensors to get an optimised rotational result. This method was trialled on a laboratory scaled model, before the system was installed on an in-service single-span skewed railway bridge. The rotational measurements were compared against rotation measurements obtained using a vision-based measurement system to confirm the validity of the results. An introduction to gyroscopes, field test measurement results with the sensors and their correlation with the vision-based measurement results are presented in this article.

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“…Non-contact-based measurement approaches use high technology instruments in order to overcome the drawbacks of the conventional deformation sensors. Laser Doppler Vibrometer (LDV) [ 5 , 6 ], Global Positioning System (GPS) [ 7 , 8 , 9 , 10 , 11 , 12 ], laser scanning [ 13 , 14 , 15 ], and image-based measurement methods [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ] are among the most popular non-contact devices. However, all of these methods suffer from drawbacks that limit their application for deformation measurement of bridges.…”

Section: Introductionmentioning

confidence: 99%

Developing an Optical Image-Based Method for Bridge Deformation Measurement Considering Camera Motion

Abolhasannejad

Huang

Namazi

2018

Sensors

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Since deformation estimation may lead to errors occurring when the camera vibrates, it is necessary to remove the image global motion before computing real bridge deformation. In this study, a combination of image motion correction algorithm and 2D image-based deformation measurement technique was utilized to address the issue of camera motion during the image data acquisition for bridge deformation measurement. Based on the proposed methodology, the image motion parameters were estimated by defining an effective sub-image in the image and using Iterative Affine Motion Estimator. Then the estimated parameters were applied to all pixels of each captured image to remove the motion effect. Finally, the corrected images were used to analyze by a 2D image-based deformation measurement technique in order to extract and measure real bridge deformation by tracking artificial or natural targets. The proposed methodology was validated by two experiments in the lab and field environments. Achieved results show the accuracy and reliability of the proposed methodology.

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Reference free method for real time monitoring of bridge deflections

Cited by 62 publications

References 21 publications

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion

Tracking bridge tilt behaviour using sensor fusion techniques

Developing an Optical Image-Based Method for Bridge Deformation Measurement Considering Camera Motion

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