Monitoring of bridge deformation using GPS technique

Kaloop, Mosbeh R.; Li, Hui

doi:10.1007/s12205-009-0423-y

Cited by 44 publications

(16 citation statements)

References 9 publications

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“…The KF and Least Square (LS) are two types of wavelet analysis used in a wide area of GPS applications. It was found that the calculated coordinates from LS and KF analysis methods are much closer [7].…”

Section: Introductionmentioning

confidence: 86%

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Study of Suspension Bridge Deformation Using Neural Network

Mazurov¹,

Zarzoura

Hassan³

2017

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017)

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Abstract-Suspension bridges are an important and widely used element of regional and urban infrastructure for traffic and transportation. One of the elements of the system to ensure their safety and security is the geodetic monitoring by using GNSS technologies. Displacement of the bridges points depend not only on time, the impact of traffic capacity and wind on the naturaltechnical system of suspension bridge should be taken into consideration. This makes the task of constructing a predictive model difficult. The most significant effects are the temperature change, the impact of wind and vehicle movement. Here is some analysis of these effects on the dynamics of a suspension bridge using real experimental data. Two analytical methods, namely Neural Networks (NN) and Least Square (LS), were used for the prediction of the effects on the behavior of suspension bridges. The results of the Neural Networks give better picture than the results of Least Square.

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Section: Introductionmentioning

confidence: 86%

“…The entire width of the bridge deck is 13.6m, including lane road of 9m and the pavement on both sides of the bridge. The bridge is a five-span continuous prestressed concrete cable-stayed bridge with the main span of 260m, double pylons and double columns [7].…”

Section: Introductionmentioning

confidence: 99%

Study of Suspension Bridge Deformation Using Neural Network

Mazurov¹,

Zarzoura

Hassan³

2017

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017)

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“…. e use of GPS receivers related to SHM has been implemented in several investigations [1,[3][4][5][6][7][8][9], resulting that GPS is an advanced tool for this kind of purposes. e main advantage of GPS is its capability of measuring directly displacements without the requirement of double integration of accelerations; generally necessary in other devices.…”

Section: Geodetic-grade Gps Receiversmentioning

confidence: 99%

“…Since two decades ago, both geodetic-grade GPS (Global Positioning System) receivers and commercial accelerometers have been used in several studies related to Structural Health Monitoring (SHM) [1][2][3][4][5][6][7][8][9]. e results of these investigations demonstrated that they are efficient and accurate devices for SHM of roads, dams, buildings, bridges, etc.…”

Section: Introductionmentioning

confidence: 99%

GPS, Accelerometer, and Smartphone Fused Smart Sensor for SHM on Real‐Scale Bridges

Guzman-Acevedo

Vázquez-Becerra

Millán-Almaraz

et al. 2019

Advances in Civil Engineering

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During the last two decades, Global Positioning System (GPS) geodetic-grade receivers and accelerometers have been implemented in Structural Health Monitoring (SHM). Most recently, the use of sensors integrated in smartphones has been evolving. Although some of their capabilities are validated for small and local structures, there is a gap in knowledge about the use of sensors embedded in smartphones and other electronic devices for SHM of complex structures as bridges. To contribute in this area, this paper demonstrates the application of GPS receivers, accelerometers, and smartphones, integrating a smart sensor for the SHM of bridges. In order to validate its capabilities, the alternative smart sensor is used to study a particular bridge with vibration problems. Semistatic and dynamic displacements are obtained by means of GPS measurements. Accelerations in three directions of the bridge are determined using the accelerometer and the smartphone. Based on the results of the alternative smart sensor, inappropriate structural behavior is detected in the vertical direction of the bridge. In addition, dynamic characteristics are extracted using the smart sensor applying the Fast Fourier Transformation (FFT) and periodogram to the structural responses. As a result, it is verified the applicability of the fused smart sensor for SHM on real-scale bridges.

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“…Nowadays, the use of Global Navigation Satellite Systems (GNSS) for deformation monitoring is a common practice, e.g. for crustal movements, landslides, structure and infrastructure deformations (Kaloop and Li, 2009, Fastellini et al, 2011, Barzaghi et al, 2018. The GNSS monitoring system is typically implemented installing a network of receivers that guarantee a millimeter accuracy, usually computing solutions on daily periods.…”

Section: Gnss Monitoringmentioning

confidence: 99%

Cultural Heritage Monitoring by Low-Cost GNSS Receivers: A Feasibility Study for San Gaudenzio’s Cupola, Novara

Barzaghi

Reguzzoni

Gaetani

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> In this study the cupola of San Gaudenzio’s Basilica in Novara, Italy, has been monitored by using two low-cost GNSS receivers located on the East and West side of the spire. Time series of daily solutions for an observation period of about one year have been collected and interpolated by cubic splines. The minimum description length criterion has been used to optimize this interpolation. The results show that the building had an uplift with a maximum amplitude of about 2 cm during summer. Moreover, from a joint analysis of the two points, one can realize that the uplift is not homogeneous, but the structure made some oscillations (with an amplitude at most of 4&thinsp;mm) when rising up. As for the planimetric coordinates, the two antennas had a slightly different behaviour. The West point showed displacements at most of 1 cm and solutions with a very high repeatability of the order of few millimeters. The East point had a similar repeatability until a sudden jump occurred, followed by more noisy solutions in all the three directions. This noise degradation slowly dampened, till almost disappearing at the end of the recorded time series. This anomalous behaviour could be attributed to some structural movements. The test was successful in the sense that (1) it was proved that the millimeter accuracy can be reached by using GNSS low-cost receivers installed at San Gaudenzio’s cupola, even with a non-perfect sky visibility; (2) such an accuracy is able to show interesting movements of the cupola that can provide information about its stability.</p>

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Monitoring of bridge deformation using GPS technique

Cited by 44 publications

References 9 publications

Study of Suspension Bridge Deformation Using Neural Network

Study of Suspension Bridge Deformation Using Neural Network

GPS, Accelerometer, and Smartphone Fused Smart Sensor for SHM on Real‐Scale Bridges

Cultural Heritage Monitoring by Low-Cost GNSS Receivers: A Feasibility Study for San Gaudenzio’s Cupola, Novara

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