Structural modal identification using a portable laser-and-camera measurement system

Han, Yitian; Wu, Gang; Feng, Dongming

doi:10.1016/j.measurement.2023.112768

Cited by 12 publications

(2 citation statements)

References 24 publications

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“…To solve the difficulties posed by modal identification of full-scale bridge structures, Hoskere et al [ 148 ] proposed a UAV-based vision-based mode shape identification method for full-scale suspension bridges. Han et al [ 198 ] proposed a portable laser-and-camera system (as shown in Figure 9 ) for bridge displacement measurement, and used the Data-SSI method to identify bridge mode shapes. The system is easily assembled in the field and avoids the problems associated with the use of telephoto lenses.…”

Section: Cv-based Vibration Measurementmentioning

confidence: 99%

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Luo,

Kong,

Zhang

et al. 2023

Sensors

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Bridge inspection and monitoring are usually used to evaluate the status and integrity of bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods have the advantages of being low cost, simple to operate, remote, and non-contact, and have been widely used in bridge inspection and monitoring in recent years. Therefore, this paper reviews three significant aspects of CV-based methods, including surface defect detection, vibration measurement, and vehicle parameter identification. Firstly, the general procedure for CV-based surface defect detection is introduced, and its application for the detection of cracks, concrete spalling, steel corrosion, and multi-defects is reviewed, followed by the robot platforms for surface defect detection. Secondly, the basic principle of CV-based vibration measurement is introduced, followed by the application of displacement measurement, modal identification, and damage identification. Finally, the CV-based vehicle parameter identification methods are introduced and their application for the identification of temporal and spatial parameters, weight parameters, and multi-parameters are summarized. This comprehensive literature review aims to provide guidance for selecting appropriate CV-based methods for bridge inspection and monitoring.

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Section: Cv-based Vibration Measurementmentioning

confidence: 99%

Computer Vision-Based Bridge Inspection and Monitoring: A Review

Luo,

Kong,

Zhang

et al. 2023

Sensors

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“…The experimental measure of displacements through video processing for the purpose of structural monitoring in civil engineering infrastructures has attracted much attention in the past decade. Hundreds of research articles, mostly focusing on the dynamic response monitoring of bridges, were reviewed in recent comprehensive analyses of the state-of-theart [1][2][3][4][5] and more articles continue to appear, e.g., [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. The reasons for such interest can be explained by considering the appealing characteristics of such technology, namely:…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic

Micozzi,

Morici,

Zona

et al. 2023

Infrastructures

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Video processing for structural monitoring has attracted much attention in recent years thanks to the possibility of measuring displacement time histories in the absence of stationary points close to the structure, using hardware that is simple to operate and with accessible costs. Experimental studies show a unanimous consensus on the potentialities of vision-based monitoring to provide accurate results that can be equivalent to those obtained from accelerometers and displacement transducers. However, past studies mostly involved steel bridges and footbridges while very few applications can be found for concrete bridges, characterised by a stiffer response with lower displacement magnitudes and different frequency contents of their dynamic behaviour. Accordingly, the attention of this experimental study is focused on the application of a vision-based structural monitoring system to a medium-span, post-tensioned, simply supported concrete bridge, a very common typology in many road networks. The objective is to provide evidence on the quality of the results that could be obtained using vision-based monitoring, understanding the role and influence on the accuracy of the measurements of various parameters relevant to the hardware settings and target geometry, highlighting possible difficulties, and providing practical recommendations to achieve optimal results.

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