Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review

Kaloop, Mosbeh R.; Elbeltagi, Emad; Hu, Jong Wan; Refai, Ahmed El

doi:10.3390/ijgi6120382

Cited by 52 publications

(41 citation statements)

References 67 publications

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“…The monitoring approach proposed in this research using an AI aided algorithm allows high precision monitoring with a Max RE of less than 2 mm when monitoring from a station about 30 m apart. This system can be considered as a high precision monitoring system compared to commonly used monitoring GPS systems that have standard deviations between 20 and 6 mm [46], and the precision obtained by structural deformations monitoring using close-range photogrammetry [4,47]. Moreover, the introduced monitoring technique precision can be compared to the precision of high-precision sensors in structural monitoring that have RMSE of ±3 mm [48].…”

Section: Resultsmentioning

confidence: 99%

Robust In-Plane Structures Oscillation Monitoring by Terrestrial Photogrammetry

El-Kadi

El-Shazly

Nassar

2020

Sensors

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Oscillation monitoring commonly requires complex setups integrating various types of sensors associated with intensive computations to achieve an adequate rate of observations and accuracy. This research presents a simple, cost-effective approach that allows two-dimensional oscillation monitoring by terrestrial photogrammetry using non-metric cameras. Tedious camera calibration procedures are eliminated by using a grid target that allows geometric correction to be performed to the frame's region of interest at which oscillations are monitored. Region-based convolutional neural networks (Faster R-CNN) techniques are adopted to minimize the light exposure limitations, commonly constraining applications of terrestrial photogrammetry. The proposed monitoring procedure is tested at outdoor conditions to check its reliability and accuracy and examining the effect of using Faster R-CNN on monitoring results. The proposed artificial intelligence (AI) aided oscillation monitoring allowed sub-millimeter accuracy monitoring with observation rates up to 60 frames per second and gained the benefit of high optical zoom offered by market available bridge cameras to monitor oscillation of targets 100 m apart with high accuracy.

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Section: Resultsmentioning

confidence: 99%

Robust In-Plane Structures Oscillation Monitoring by Terrestrial Photogrammetry

El-Kadi

El-Shazly

Nassar

2020

Sensors

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“…Orthodox monitoring approaches, including accelerometers and robotic total stations, have been used to evaluate structural vibrations and dynamic displacements. GNSS systems have also been employed in the dynamic measurements of flexible structures for SHM [23][24][25]. In 1993, the NAVigation Satellite Timing And Ranging Global Positioning System (NAVSTAR GPS) system was for the first time used in order to measure the dynamic displacements of the Calgary tower in Canada.…”

Section: Structural Monitoring Via Global Navigation Satellite Systemmentioning

confidence: 99%

“…Using the multimode GNSS data and a multimode adaptive filtering algorithm, the dynamic displacements of the bridge were identified with sub-millimetre-level accuracy by Yu et al [29], showing the capability of monitoring the vibration response of medium span bridges. The real-time monitoring of structures like tall buildings and long-span bridges characterized by a long period has become progressively popular due to improvements in the sampling rates of GNSS receivers and developments in integrated systems (see, for example, [25]). Both the quasi-static and dynamic responses are measured either as displacement or acceleration resulting from wind or seismic actions.…”

Section: Structural Monitoring Via Global Navigation Satellite Systemmentioning

confidence: 99%

Variable Dampers to Mitigate Structural Demand to Wind Turbines: The Role of the Monitoring System Features for the Effectiveness of the Control Strategy

et al. 2020

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In the last decade, some researchers and professionals have been engaged in the study of methods and techniques that can build high wind turbines while containing construction costs within the limits of economic convenience. Among the most promising solutions is that of using innovative devices to mitigate the structural demand for the towers. The reduction in the stress demand in the foundation makes the strategy particularly interesting for the repowering of existing plants, where it is convenient not to demolish and rebuild the foundation, but rather to reuse the existing one for the new plant. A semi-active vibration control strategy, based on the adoption of controllable dissipative devices, is presented herein. The proposed technique requires the tower to be equipped with a measurement system suitable for the real time monitoring of structural response. Performing reliable high-frequency measurements of the horizontal displacement of points located at heights of tens of meters is not simple. With the purpose of assessing the efficiency and feasibility of Global Navigation Satellite System (GNSS)-based systems for the control of wind turbine structures, the proposed paper tries to investigate the characteristics and data processing techniques that are able to make the GNSS useful for such applications. Several numerical simulations were carried out with reference to a case-study wind turbine to quantitatively assess how the performance of the control system changes as the features of the monitoring system worsen, and finally to draw conclusions and suggestions for the minimum performance that monitoring devices must have for an effective reduction in structural demand.

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“…The GNSS positioning technology has many attractive advantages in SHM with its significantly improved overall performance. For example, its data sampling rate can reach 20 Hz, or even 100 Hz, which meets the monitoring requirement for most large‐scale structures; it can continuously acquire data under all weather conditions such as wind, rain, and haze; it can provide not only real‐time 3‐D displacements but also the time with an accuracy of 30 ns …”

Section: Introductionmentioning

confidence: 99%

“…For example, its data sampling rate can reach 20 Hz, or even 100 Hz, which meets the monitoring requirement for most large-scale structures; it can continuously acquire data under all weather conditions such as wind, rain, and haze; it can provide not only real-time 3-D displacements but also the time with an accuracy of 30 ns. [11][12][13] The GNSS technology can measure the static displacements at millimeter level accuracy. Meanwhile, its dynamic measurement accuracy is also significantly improved with measurement accuracies of 20 and 10 mm in the vertical and horizontal directions, respectively, in last two decades.…”

mentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

109

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Summary Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.

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Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review

Cited by 52 publications

References 67 publications

Robust In-Plane Structures Oscillation Monitoring by Terrestrial Photogrammetry

Robust In-Plane Structures Oscillation Monitoring by Terrestrial Photogrammetry

Variable Dampers to Mitigate Structural Demand to Wind Turbines: The Role of the Monitoring System Features for the Effectiveness of the Control Strategy

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

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