Detection of a curved bridge deck vibration using robotic total stations for structural health monitoring

Santos, Rodrigo da Silva; Larocca, Ana Paula Camargo; Neto, João Olympio de Araújo; Barbosa, Artur Felipe Santos; Oliveira, José Venâncio Marra

doi:10.1007/s13349-019-00322-1

Cited by 16 publications

(8 citation statements)

References 33 publications

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“…Finally, graphical information of the time seriess is presented for better perception and understanding, like spectral analyzes of the signals obtained in the field by the accelerometer, in the same way as presented with GPS data i.e., by applying a Morlet continuous Transform Wavelet on both data sets. The chronological progress of this study can be observed in Araújo Neto et al [21], Larocca et al [3], Oliveira et al [4].…”

Section: Selection Of Jaguari Bridgementioning

confidence: 62%

“…The Jaguari bridge has been monitored since 2011 by the team from the infra- In June 2013, the observation with GPS receiver was started on the bridge and the span's natural frequency and its harmonics due to the traffic were confirmed, with the proposed methodology. It was observed in initial results that the information obtained by conventional techniques was equalized with that, obtained with the proposed methodology [3] [4]. Although the first results were satisfactory, the authors observed that there was a need to carry out new measurements on the structure simultaneously with conventional civil engineering apparatus, preferably precision accelerometers, to validate the proposed methodology.…”

Section: Selection Of Jaguari Bridgementioning

confidence: 97%

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Rigid Bridges Health Dynamic Monitoring Using 100 Hz GPS Single-Frequency and Accelerometers

Neto¹,

Trabanco²,

Larocca³

et al. 2019

POS

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This article presents the modal frequency recordings of a rigid bridge, monitored by the GPS receivers (Global Positioning System) with a data recording rate of 100 Hz and accelerometers. The GPS data processing was performed through the double-difference phase, using the adjusted interferometry technique (i.e. phase residue method-PRM ). In the method, the doubledifference phase of the carrier L1 is realized by using two satellites only, one was positioned at the zenith of the structure and the other satellite was positioned near the horizon. The results of the parametric adjustment of the PRM observations were finalized through software Interferometry, mathematical algorithm were applied and compared with the accelerometer. The comparison served to validate the use of GPS as a fast and reliable instrument for the preliminary monitoring of the dynamic behavior of the bridge, road artworks which are common in several countries, especially in the Brazilian road network. The data time series from the GPS and accelerometers were processed using the Wavelet. The detection of frequencies means that the combination of 100 Hz GPS receivers and the PRM allows detecting vibrations up to 5 mm. It presented significant results which were never obtained by the Fourier Transform.

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Section: Selection Of Jaguari Bridgementioning

confidence: 62%

Section: Selection Of Jaguari Bridgementioning

confidence: 97%

Rigid Bridges Health Dynamic Monitoring Using 100 Hz GPS Single-Frequency and Accelerometers

Neto¹,

Trabanco²,

Larocca³

et al. 2019

POS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Frequency-domain analyses are usually employed on the extracted vibration signals to evaluate the structural health of bridges [ 11 , 12 ]. The frequency response from a bridge’s natural frequency and traffic load often resides at separate frequency bands [ 13 ]; thus, identifying the frequency response specific to the structure would be possible.…”

Section: Related Workmentioning

confidence: 99%

Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting

Aliansyah

Shimasaki

Senoo

et al. 2021

Sensors

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Vision-based structural displacement methods allow convenient monitoring of civil structures such as bridges, though they are often limited due to the small number of measurement points, constrained spatial resolution, and inability to identify the acting forces of the measured displacement. To increase the number of measurement points in vision-based bridge displacement measurement, this study introduces a front-view tandem marker motion capture system with side-view traffic counting to identify the force-inducing passing vehicles on the bridge’s deck. The proposed system was able to measure structural displacement at submillimeter resolution on eight measurement points at once at a distance of 40.8–64.2 m from a front-view camera. The traffic counting system with a side-view camera recorded the passing vehicles from two opposing lanes. We conducted a 35-min experiment for a 25 m-span steel road bridge with hundreds of cars passing over it and confirmed dynamic displacement distributions with amplitudes of several millimeters when large vehicles passed.

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“…Structural health monitoring is a series of processes that have four steps: determining the appropriate detection system, collecting data, interpreting the information obtained, and determining the damage and taking the necessary precautions (evacuating the structure or repairing the damage). Many measuring instruments are used for SHM (extensometer, tiltmeter, micrometer, accelerometer [1], GNSS (Static, Kinematics, Real Time Kinematics (RTK), and Precision Point Positioning (PPP)) [2], robotic total station (RTS) [3], visionbased measurement [4], laser vibrometer [5]). To estimate the structure's performance under various loads and structural conditions, the relevant structure is simulated on a computer and displacements are monitored using the finite element method (FEM) [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Testing the Performance of the Video Camera to Monitor the Vertical Movements of the Structure via a Specially Designed Steel Beam Apparatus

Eren

Hoşbaş

2023

Measurement Science Review

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This article focuses on a specially designed steel beam testing apparatus to determine the dynamics of the structure using data obtained from different sensor systems. The analysis of these different sensor systems is performed by processing data recorded by the Global Navigation Satellite System (GNSS), vision based measurement (video camera), and accelerometer surveys. To perform this analysis, the accelerometer and GNSS receiver are installed at the steel beam’s mid-span position. The high-contrast artificial target attached to the accelerometer is recorded by a video camera to monitor the structural dynamics. Steel beam experiments show that it is compatible with the accelerometer, which is predicted as a reference sensor in detecting motion with an amplitude of 10 mm and above in the vertical direction with GNSS and determining the structural frequency by spectral analysis. On the other hand, we concluded that the video camera can be used to determine the structural dynamics in SHM because its results were compatible with the reference data even if the amplitude was too small.

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Detection of a curved bridge deck vibration using robotic total stations for structural health monitoring

Cited by 16 publications

References 33 publications

Rigid Bridges Health Dynamic Monitoring Using 100 Hz GPS Single-Frequency and Accelerometers

Rigid Bridges Health Dynamic Monitoring Using 100 Hz GPS Single-Frequency and Accelerometers

Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting

Testing the Performance of the Video Camera to Monitor the Vertical Movements of the Structure via a Specially Designed Steel Beam Apparatus

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