First Steps Using Two GPS Satellites for Monitoring the Dynamic Behavior of a Small Concrete Highway Bridge

Larocca, Ana Paula Camargo; Neto, João Olympio de Araújo; Trabanco, Jorge Luiz Alves; Santos, Marcelo C.; Barbosa, Artur Felipe Santos

doi:10.1061/(asce)su.1943-5428.0000170

Cited by 15 publications

(20 citation statements)

References 11 publications

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“…In the last decade, the potential for using the Global Positioning System (GPS) in structural health monitoring (SHM) has been revealed through experimental studies, which proved its ability in monitoring oscillations of subcentimeter level displacement and high‐rate frequencies,[] and applications to real monitoring of bridges[] and buildings or towers,[] where the GPS monitoring was successfully used to estimate the main characteristics of the structures response. Furthermore, the recent rapid developments in the GPS system, such as 100‐Hz high‐rate receivers,[] the precise point positioning (PPP) solution[] among others, and the contribution of other satellite navigation systems,[] resulting in the Global Navigation Satellite System (GNSS), have lead to further enhancement of the GPS/GNSS solution and increased reliability of the displacement time series.…”

Section: Introductionmentioning

confidence: 99%

Using the signal-to-noise ratio of GPS records to detect motion of structures

Peppa

Psimoulis

Meng

2017

Struct Control Health Monit

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SUMMARYAlthough major breakthroughs have been achieved during the last decades in the use of GPS technology on Structural Health Monitoring, the mitigation of the biases and errors impeding its positioning accuracy remains a challenge. This paper tests an alternative approach that can increase the reliability of the GPS system in structural monitoring by using the spectral content of the signal-to-noise ratio (SNR) of GPS signals to detect frequencies of antenna vibrations. This approach suggests the potential of using SNR data analysis as a supplement to low-quality positioning solution or as a near real-time alert of excessive vibration proceeding the position solution calculation. Experiments, involving a GPS antenna subjected to vertical vibrations of 0.4-cm to 4.5-cm amplitude at a range of frequencies between 0.007 Hz and 1 Hz, examine the dynamic multipath induced SNR response corresponding to the antenna motion. Synchronised fluctuations in the SNR time series were observed to reflect the antenna motion and their spectral content to include the frequencies of motion. SNR records from the GPS monitoring of the Wilford suspension bridge were used to validate the SNR sensitivity to controlled vibrations of the bridge deck. The natural frequency of 1.64 Hz was extracted from SNR measurements using spectral analysis on a 6-mm amplitude vibration, and the frequency of the semi-static displacement (∼ 0.02 Hz) was revealed in the SNR records permitting, after appropriate filtering, the estimation of a few millimetre semi-static displacement from the GPS time series without the need for any other sensor.

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Section: Introductionmentioning

confidence: 99%

Using the signal-to-noise ratio of GPS records to detect motion of structures

Peppa

Psimoulis

Meng

2017

Struct Control Health Monit

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“…It is important to note that the authors did several tests with the Fourier Transform (FT) and their variations, in order to analyze the random data originated by the bridge even though FT is not an appropriate method for analyzing random vibrations [2]. The reason that prompted the authors to use Wavelet was that FT represents spectral responses through peaks only, i.e., detected frequency (The peak is recorded), or undetected, the peak with amplitude close to the multipath spectral response threshold [3]. However, it is not indicative in what time or period of time, one or other frequency were recorded.…”

Section: Stage 1: Phase Residue Method-prmmentioning

confidence: 99%

“…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%

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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“…The main advantage of the DGPS is the improvement of the measurements with low errors. The DGPS technique uses base and rover receivers where the data processing is divided into post-process and real-time kinematic (RTK) [26,36,38,56]. Moschas and Stiros [3] presented the assessment of dynamic behavior based on RTK monitoring system as follows: The data analyzed in part came from a GPS (rover) receiver positioned at the mid-span of the bridge at the top of the truss.…”

Section: Methodology For Assessment Of Dgpsmentioning

confidence: 99%

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

Kaloop

Elbeltagi

et al. 2017

IJGI

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This paper presents the recent development in Structural Health Monitoring (SHM) applications for monitoring the dynamic behavior of structures using the Global Positioning Systems (GPS) technique. GPS monitoring systems for real-time kinematic (RTK), precise point positioning (PPP) and the sampling frequency development of GPS measurements are summarized for time series analysis. Recent proposed time series GPS monitoring systems, errors sources and mitigation, as well as system analysis and identification, are presented and discussed.

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First Steps Using Two GPS Satellites for Monitoring the Dynamic Behavior of a Small Concrete Highway Bridge

Cited by 15 publications

References 11 publications

Using the signal-to-noise ratio of GPS records to detect motion of structures

Using the signal-to-noise ratio of GPS records to detect motion of structures

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

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

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