Monitoring horizontal displacements in a vertical profile of a tall industrial chimney using Global Positioning System technology for detecting dynamic characteristics

Breuer, Peter; Chmielewski, Tadeusz; Górski, Piotr; Konopka, Eduard; Tarczyński, Lesław

doi:10.1002/stc.1730

Cited by 22 publications

(15 citation statements)

References 23 publications

(30 reference statements)

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“…Since the short baselines are used (Table 1) in GNSS data processing, the satellite-dependent terms, such as satellite clock offsets, and carrier phase fractional biases, the distance-dependent terms, such as tropospheric and ionospheric delay, and satellite orbit errors could be neglected in double-difference (Breuer et al 2015;Górski, 2017). Thus, there are only coordinate parameters and double-difference ambiguity parameters left in the parameter list to be estimated.…”

Section: Gps Data Processingmentioning

confidence: 99%

“…However, there are obvious disadvantages of using GNSS to monitor bridge deformation. For example, the low sampling rate and high level of observation noise make it impossible to detect relatively high vibration bridge frequencies (Meng 2002;Meng et al 2007;Breuer et al 2015;Górski, 2017). Thus, many researches have made to use an integrated monitoring system with dual frequency GNSS receivers and accelerometers to detect the dynamics information which can significantly improve the overall system performance (Roberts et al, 2001;Yu et al 2014;Meng et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Dynamic characteristic of the forth road bridge estimated with GeoSHM

Meng

Xie

2018

J. Glob. Position. Syst.

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The importance of bridge health monitoring and management has been recognized by authorities of long-span bridges throughout the world in recent years. The GeoSHM consortium, led by the University of Nottingham, was awarded a Feasibility Study (FS) grant in 2013 by the European Space Agency (ESA) to investigate how to use integrated GNSS and Earth Observation technologies for the structural health monitoring of large bridges. During the GeoSHM FS period a small monitoring system was installed on the Forth Road Bridge in Scotland and the consortium have gathered huge data sets and rich experience regarding the design and implementation of GeoSHM according to essential user needs. This paper, based on the data from GNSS receivers installed on the two middle span sites and top of the southern tower of the Forth Road Bridge, intends to reveal the dynamic characteristics of the bridge. By using a moving average filter, Fast Fourier Transformation (FFT) and the peak-picking approach, the threedimensional (3D) displacement time series under ambient excitation were decomposed into long-period movement and dynamic vibration response. The results demonstrate that the movement of the Forth Road Bridge in lateral direction is mainly caused by wind loading, and the correlation is about 0.7. In vertical direction, the displacements of middle span sites under the normal traffic loadings can reach 0.3 m and because of the main cable linking the middle span and top of the tower, the longitudinal movement of the southern tower top site has a high correlation with the vertical displacements of middle span sites. It has been found that due to the stiffness of the tower the trend terms inside lateral and vertical time series mainly consist of multipath effect and quasi-static displacement. The dynamic vibration frequencies and corresponding motion amplitudes were also extracted. It is found that the first natural frequencies of the middle span of the Forth Road Bridge are 0.065 Hz, 0.15 Hz and 0.104 Hz for lateral, longitudinal and vertical directions, respectively. For the south tower, vibration frequencies of 0.18 Hz can be seen in all three directions, but 0.104 Hz is only visible in longitudinal component because of the cables linking the tower and middle span. It demonstrates that with a proper data mining approach both the low frequency responses and dynamic vibration characteristics of a large bridge under ambient loadings can be extracted from GNSS data sets. Thus, GeoSHM can be used by bridge owners as an effective tool to assess the operational conditions of the bridge.

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Section: Gps Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic characteristic of the forth road bridge estimated with GeoSHM

Meng

Xie

2018

J. Glob. Position. Syst.

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“…Monitoring systems require measurements with high accuracy in the three directions. GPS monitoring systems require clear visibility to the sky as existing obstructions can reflect incoming GPS signals, causing what is known as multipath [37]; therefore, to monitor points close to structures, assistant members should be designed and attached to the monitored structures to overcome the multipath effects [47]. GPS errors resulting from ionosphere, troposphere, satellites and receivers are presented in [37,38,48].…”

Section: Introductionmentioning

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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“…It can be conceptualized as the process of simulating structural behavior by mathematical models. Based on the type of the excitation, SSI methods are categorized as static or dynamic . The dynamic SSI methods require the use of mass, stiffness, and damping properties whereas the static methods only require the use of stiffness properties .…”

Section: Introductionmentioning

confidence: 99%

Constrained observability method in static structural system identification

Lei

Nogal

Galant

et al. 2017

Struct Control Health Monit

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SummaryIdentifiability of parameters in structural system identification (SSI) is of primary importance in any SSI method. It depends on the number and the location of the measurements, which is linked with sensor configuration. In this paper, under the framework of SSI by observability method (OM), the number of necessary measurements to identify all parameters of structural system was clarified first. Then, an example was solved step by step to show the lacking constraints among unknowns in SSI by OM. In a frame example, it was found that no measurement set having as many measurements as the number of unknowns was able to identify all parameters. To further understand this phenomenon, the observability of a simply supported beam was analyzed in an exhaustive way using 252 possible measurement sets. Three quarters of these sets were not able to identify all the parameters. In order to solve this issue, for the very first time, SSI by constrained observability method (COM), which appends the nonlinear constraints to SSI by OM, was proposed. With SSI by COM applied, the observability of the structural parameters with respect to the 252 sets was greatly improved. Finally, the efficacy of SSI by COM was verified by a 13-story frame building.

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Monitoring horizontal displacements in a vertical profile of a tall industrial chimney using Global Positioning System technology for detecting dynamic characteristics

Cited by 22 publications

References 23 publications

Dynamic characteristic of the forth road bridge estimated with GeoSHM

Dynamic characteristic of the forth road bridge estimated with GeoSHM

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

Constrained observability method in static structural system identification

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