Bridge condition assessment using digital image correlation and structural modeling

Bell, Erin Santini; Peddle, Jason; Goudreau, Adam

doi:10.1201/b12352-41

Cited by 17 publications

(17 citation statements)

References 5 publications

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“…Bell et al [48] developed a FEM to calculate the load rating and predict the bridge structural performance which was calibrated via the digital image correlation technique utilized to measure bridge displacements. The system identifies the portion of the bridge which had undergone the greatest amount of deterioration.…”

Section: Finite Element Modelling (Fem)mentioning

confidence: 99%

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

Touzani

Nehdi

2018

Infrastructures

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Abstract:One quarter of bridges in Canada and the United States need repair. The present study provides a critical overview of the state-of-the-art existing condition assessment techniques for reinforced concrete bridges, with an emphasis on current practice in North America. The techniques were classified into five categories, including visual inspection, load testing, non-destructive evaluation, structural health monitoring, and finite element modelling. The potential applications of these technologies are discussed and compared, highlighting their primary advantages and limitations. The review revealed that quantitative assessment could be effectively achieved using several complementary technologies. It is shown that there is need for concerted research efforts to achieve automated data collection and interpretation analyses. Also, the configuration of monitoring systems was found to be paramount in effectively assessing bridge performance parameters of interest. The study suggests appropriate investigation methods for some bridge deterioration mechanisms. Knowledge gaps and challenges in this field are outlined in order to motivate further research and development of these technologies.

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Section: Finite Element Modelling (Fem)mentioning

confidence: 99%

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

Touzani

Nehdi

2018

Infrastructures

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“…These systems have been used in static and quasi-static measurements for the performance of load tests on bridges [1-2, 4, 11-12]. More recently Bell et al [1] and Malesa et al [6] applied a technique, often referred as Digital Image Correlation (DIC), that doesn't require a target because is based on the tracking of a predefined pattern or texture of the structure. This article describes the development of a noncontact dynamic displacement measurement system based on video technology.…”

Section: Introductionmentioning

confidence: 99%

“…The monitoring of the structural integrity of bridges is a current and relevant topic of research in structural engineering, motivated by the need of the owners and managers of infrastructures to reduce the costs of inspection and maintenance, while ensuring that the structural behaviour and the security level are appropriate throughout the bridge's useful life [1][2][3][4]. This monitoring is based on the continuous or periodical acquisition of an appropriate set of relevant measures of the structural response based on a network of transducers.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of the Dynamic Displacements of Railway Bridges Using Video Technology

Ribeiro

Calçada

Ferreira³

et al. 2015

MATEC Web of Conferences

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Abstract. This article describes the development of a non-contact dynamic displacement measurement system for railway bridges based on video technology. The system, consisting of a high speed video camera, an optical lens, lighting lamps and a precision target, can perform measurements with high precision for distances from the camera to the target up to 25 m, with acquisition frame rates ranging from 64 fps to 500 fps, and be articulated with other measurement systems, which promotes its integration in structural health monitoring systems. The system's performance was evaluated based on two tests, one in the laboratory and other on the field. The laboratory test evaluated the performance of the system in measuring the displacement of a steel beam, subjected to a point load applied dynamically, for distances from the camera to the target between 3 m and 15 m. The field test allowed evaluating the system's performance in the dynamic measurement of the displacement of a point on the deck of a railway bridge, induced by passing trains at speeds between 160 km/h and 180 km/h, for distances from the camera to the target up to 25 m. The results of both tests show a very good agreement between the displacement measurement obtained with the video system and with a LVDT.

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“…The same method was also applied in experimental mechanics for noncontact, full-field deformation measurement. 27, 28 Park et al 29 realized displacement measurement for high-rise building structures using the partitioning approach. Wahbeh et al 30 realized the measurement of displacements and rotations of the Vincent Thomas Bridge in California by using a highly accurate camera in conjunction with a laser tracking reference.…”

Section: Introductionmentioning

confidence: 99%

Vision-based displacement measurement sensor using modified Taylor approximation approach

et al. 2016

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, "Vision-based displacement measurement sensor using modified Taylor approximation approach," Opt. Eng. 55 (11) Abstract. The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in many areas. A high-speed camera system is developed to realize the displacement measurement in real time. Conventional visual measurement algorithms are commonly subjected to various shortcomings, such as complex processes, multiparameter adjustments, or integer-pixel accuracy. Inspired from the combination of block-matching algorithm and simplified optical flow, a motion estimation algorithm that uses modified Taylor approximation is proposed and applied to the vision sensor system. Simplifying integer-pixel searching with a rounding-iterative operation enables the modified algorithm to rapidly accomplish one displacement extraction within 1 ms and yield satisfactory subpixel accuracy. The performance of the vision sensor is evaluated through a simulation test and two experiments on a grating ruler motion platform and a steering wheel system of a forklift. Experimental results show that the developed vision sensor can extract accurate displacement signals and accomplish the vibration measurement of engineering structures.

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Bridge condition assessment using digital image correlation and structural modeling

Cited by 17 publications

References 5 publications

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

Condition Assessment of Reinforced Concrete Bridges: Current Practice and Research Challenges

Measurement of the Dynamic Displacements of Railway Bridges Using Video Technology

Vision-based displacement measurement sensor using modified Taylor approximation approach

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