Bridge damage detection using precise vision-based displacement influence lines and weigh-in-motion devices: Experimental validation

Ge, Liangfu; Koo, Ki-Young; Wang, Miaomin; Dan, Danhui

doi:10.1016/j.engstruct.2023.116185

Cited by 20 publications

(5 citation statements)

References 35 publications

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“…The system combines two computer vision subsystems and weigh-in-motion (WIM) devices to track vehicle position, measure structural displacement, and obtain vehicle weight information. The research demonstrates the system's feasibility through laboratory experiments on a simply supported bridge, successfully assessing damage existence and localization using Chordwise Displacement Influence Lines (cw-DILs) to compensate for boundary support friction effects [16]. Mittelstedt (2023) informs fundamental equations for beam bending, covering both statically determinate and indeterminate single-span and multi-span beams.…”

Section: Ge Et Al (2023) Experimental Validation Of a High-precision ...mentioning

confidence: 93%

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A Novel Method of Jacobian Contours to Evaluate the Influence Line in Statically Determinate Structures

Sulejmani,

Koça,

Dhoska

et al. 2023

Applied Mechanics

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Influence lines are indispensable tools for visualizing and analyzing the dynamic variations in force factors induced by external loads within structural systems. Among these methods, the energetic approach stands as a widely employed technique, rooted in the fundamental principle of work done by changing forces. It enables engineers to transform intricate structural analysis problems into manageable ones by exploring the first derivatives of the radius vector, which represent infinitesimal velocity or displacement. This methodology seamlessly interweaves concepts such as carrier motion, relative motion, and the construction of mechanisms, bringing fresh perspectives to the analysis of influence lines. In this article, we explore the nuances of these novel methods within the domain of mechanism theory. Through comprehensive elaboration and analysis, we elucidate the underlying principles and practical applications of Jacobian contours. Crucially, we introduce a straightforward, rapid, and programmable approach, promising to revolutionize influence line determination in structural engineering. This method bridges the gap between theory and practice, offering the potential to elevate the accuracy, efficiency, and adaptability of influence line analysis. As such, it represents a significant advancement in the field of structural and applied mechanics, with broad-reaching implications for engineering practice.

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Section: Ge Et Al (2023) Experimental Validation Of a High-precision ...mentioning

confidence: 93%

“…For the example 4-bar mechanism in Figure 4 By separating the known 𝑑𝜑 from the unknown 𝑑𝜑 , 𝑑𝑠 , the above equation can be written in matrix form as shown in Equations ( 14)- (16).…”

Section: Calculation Of Real Displacements and Velocities By The Meth...mentioning

confidence: 99%

A Novel Method of Jacobian Contours to Evaluate the Influence Line in Statically Determinate Structures

Sulejmani,

Koça,

Dhoska

et al. 2023

Applied Mechanics

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“…In this context, and in general, vertical displacements are movements of a point on an object relative to the reference point, which are used for the performance and stability assessment of the structure. Studies have focused on using computer vision-based measurements to obtain influence lines (i.e., bridge response to known loads at specific locations) for the characterization of the load and response mechanisms for condition assessment purposes of bridges [25][26][27]. Depending on the type of bridge, different maximum deflection limits exist.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Bridge Thermal Response for Bridge Load Rating and Condition Assessment: A Parametric Study

Marchenko,

Kromanis,

Dorée

2024

Infrastructures

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Temperature is the main driver of bridge response. It is continuously applied and may have complex distributions across the bridge. Daily temperature loads force bridges to undergo deformations that are larger than or equal to peak-to-peak traffic loads. Bridge thermal response must therefore be accounted for when performing load rating and condition assessment. This study assesses the importance of characterizing bridge thermal response and separating it from traffic-induced response. Numerical replicas (i.e., fine element models) of a steel girder bridge are generated to validate the proposed methodology. Firstly, a variety of temperature distribution scenarios, such as those resulting from extreme weather conditions due to climate change, are modelled. Then, nominal traffic load scenarios are simulated, and bridge response is characterized. Finally, damage is modelled as a reduction in material stiffness due to corrosion. Bridge response to applied traffic load is different before and after the introduction of damage; however, it can only be correctly quantified when the bridge thermal response is accurately accounted for. The study emphasizes the importance of accounting for distributed temperature loads and characterizing bridge thermal response, which are important factors to consider both in bridge design and condition assessment.

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“…These systems typically use a camera to record video footage of targets on the bridge, which is then analyzed by image processing software to calculate bridge displacement (Luo et al., 2018; Xu & Brownjohn, 2018). Examples of such systems include single‐lens reflex camera‐based systems (Ge et al., 2023; Hoag et al., 2017; Narazaki et al., 2021), camcorder‐based systems (Shao et al., 2023), unmanned aerial vehicle systems (Hoskere et al., 2019; Weng et al., 2021; Yoon et al., 2018), and action camera‐based systems (Xu et al., 2018; Lydon et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Real‐time displacement measurement for long‐span bridges using a compact vision‐based system with speed‐optimized template matching

Wang,

Xu,

Koo

et al. 2024

Computer aided Civil Eng

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This paper introduces a new accelerating algorithm, efficient match slimmer (EMS), specifically designed to lighten computational loads of sophisticated template matching algorithms, enabling these algorithms to be effectively run on single‐board computers. Utilizing EMS in conjunction with a robust template matching algorithm, we have developed Raspberry Vision—a compact, cost‐effective, and real‐time vision‐based system. Its compactness and portability facilitate a practical measurement strategy that not only minimizes the camera‐to‐target distance but also simplifies the camera calibration process in bridge displacement monitoring, thereby enhancing measurement accuracy. The performance of the system is estimated on two operational suspension bridges. The results demonstrate that Raspberry Vision, equipped with the measurement strategy, can significantly improve the measurement accuracy in the long‐span bridge test and is also suitable for cross‐sea bridge measurements.

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Bridge damage detection using precise vision-based displacement influence lines and weigh-in-motion devices: Experimental validation

Cited by 20 publications

References 35 publications

A Novel Method of Jacobian Contours to Evaluate the Influence Line in Statically Determinate Structures

A Novel Method of Jacobian Contours to Evaluate the Influence Line in Statically Determinate Structures

Characterizing Bridge Thermal Response for Bridge Load Rating and Condition Assessment: A Parametric Study

Real‐time displacement measurement for long‐span bridges using a compact vision‐based system with speed‐optimized template matching

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