UAV-based smart rock localization for bridge scour monitoring

Zhang, Haibin; Li, Zhaochao; Chen, Genda; Reven, Alec; Scharfenberg, Buddy; Ou, Jinping

doi:10.1007/s13349-020-00453-w

Cited by 13 publications

(11 citation statements)

References 19 publications

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“…The organization of these rocks influence a measurable magnetic field that can be mapped to the scour. Such magnetic field has been measured using magnetometers installed on a truck and recently using unmanned aerial vehicles [41].…”

Section: Contemporary Measurement Techniquesmentioning

confidence: 99%

Perspective on structural health monitoring of bridge scour

Laflamme

2024

Meas. Sci. Technol.

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This paper celebrates A. S. E. Ackerman's centennial publication on an apparatus for the monitoring of piles by providing a perspective on instruments used to monitor bridge pile scours. A short review of early works provides the reader with a historical perspective on the development and application of bridge scour monitoring devices. After, a discussion on contemporary measurement techniques reveals how these early devices have evolved, and how vibration-based monitoring techniques have gained significant attention. Lastly, thoughts on future needs for these structural health monitoring solutions are shared, and include remarks on the required characteristics to construct the next generation of high-performance bridge scour measurement device and monitoring systems.

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Section: Contemporary Measurement Techniquesmentioning

confidence: 99%

Perspective on structural health monitoring of bridge scour

Laflamme

2024

Meas. Sci. Technol.

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“…Unmanned Aerial Vehicle using smart rocks Yes [31] Smart probes instrumented with electromagnetic sensors [52] Yes [53] Micro energy harvesters None [54] Horizontally-displaced mode shapes and changes in dynamic flexibility Yes [55] Unmanned Aerial Vehicle-based smart rock Yes Indirect [56] Wavelet transformation None [37] [57] [18] Eigen frequency None [19] Closed-form mode shape derivation Yes…”

Section: Conventional Monitoring-based and Machine Learning-based Met...mentioning

confidence: 99%

“…Accelerometers were located at the mid-spans and piers of the bridges. Signals from the superstructure of the bridge were collected using velocity sensors to reveal the dynamic features of scour [55]. Their experimental setup consisted of inclinometers, a camera, a level transmitter, and a wireless transmitter as well.…”

Section: Conventional Monitoring-based and Machine Learning-based Met...mentioning

confidence: 99%

“…Some innovative researchers used innovative technology, i.e., smart rocks for scour monitoring. [51,55]. Based on the theory of the magnetic field, developed algorithms were able to find the locations of the rocks, which were rolled down into scour holes.…”

Section: Conventional Monitoring-based and Machine Learning-based Met...mentioning

confidence: 99%

“…On the other hand, [44] searched for the rigid body motions of the piles and piers, using velocity sensors. [51] and [55] tried to locate and track the movement of smart rocks they deployed along the scour hole. Vertical displacement of the rock into the hole revealed the depth of scour.…”

Section: Direct Monitoring-based Studiesmentioning

confidence: 99%

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Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review

et al. 2023

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Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research.

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