Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer

Yi, Ting‐Hua; Li, Hong‐Nan; Gu, Ming

doi:10.12989/sss.2013.11.4.331

Cited by 107 publications

(58 citation statements)

References 28 publications

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“…Some other errors, such as multipath error and random noise, cannot be removed in the differencing method [30]. Several data processing techniques could be performed to mitigate these residual errors, such as an adaptive filtering (AF) technique [31][32][33], a technique combining Empirical Mode Decomposition (EMD) and AF [34], an improved particle-filtering algorithm [35], a supervised learning technique [36], and a wavelet based multi-step filtering method [37]. In summary, most of the current filtering techniques can identify centimeter level displacements with a millimeter level accuracy.…”

Section: Introductionmentioning

confidence: 99%

Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

Yu¹,

Meng²,

Shao³

et al. 2014

Engineering Structures

107

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Section: Introductionmentioning

confidence: 99%

Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

Yu¹,

Meng²,

Shao³

et al. 2014

Engineering Structures

107

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“…Global Positioning System (GPS) -remote sensing, photogrammetry, Electronic Distance Measurement (EDM), angle measuring, levelling, etc. [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Deformation monitoring and the maximum number of stable points method

2015

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Abstract. The question of determination of displacements in control networks with two or more measuring epochs is a well-known problem with broad applications to different fields of science and engineering. The standard procedure, which is computed by means of the pseudoinverse matrix, however, makes an implicit assumption that may be not convenient for the network at hand: it distributes the noticed displacement among the majority of the network points. The present paper develops what it has been named as the maximum number of stable points hypothesis and builds from the corresponding theoretical framework an applicable computation procedure. Application to a particular example will confirm its clear advantages versus the standard procedure for deformation determination in the cases where a single large deformation may be suspected.

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“…When simulating the wind fi eld, the measured wind spectrum obtained by fi tting the long-term recorded wind data from SHMS (Yi et al, 2013) was selec ted as the objective wind spectrum. The layout of the simulated points in the SCB is shown in Fig.…”

Section: Wind Fi Eld Simulationmentioning

confidence: 99%

Influence of structural parameters on dynamic characteristics and wind-induced buffeting responses of a super-long-span cable-stayed bridge

Wang

Chen

Xing

et al. 2014

Earthq. Eng. Eng. Vib.

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A 3D fi nite element (FE) model for the Sutong cable-stayed bridge (SCB) is established based on ANSYS.The dynamic characteristics of the bridge are analyzed using a subspace iteration method. Based on recorded wind data, the measured spectra expression is presented using the nonlinear least-squares regression method. Turbulent winds at the bridge site are simulated based on the spectral representation method and the FFT technique. The infl uence of some key structural parameters and measures on the dynamic characteristics of the bridge are investigated. These parameters include dead load intensity, as well as vertical, lateral and torsional stiffness of the steel box girder. In addition, the infl uence of elastic stiffness of the connection device employed between the towers and the girder on the vibration mode of the steel box girder is investigated. The analysis shows that all of the vertical, lateral and torsional buffeting displacement responses reduce gradually as the dead load intensity increases. The dynamic characteristics and the structural buffeting displacement response of the SCB are only slightly affected by the vertical and torsional stiffness of the steel box girder, and the lateral and torsional buffeting displacement responses reduce gradually as the lateral stiffness increases. These results provide a reference for dynamic analysis and design of super-long-span cable-stayed bridges.

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Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer

Cited by 107 publications

References 28 publications

Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

Deformation monitoring and the maximum number of stable points method

Influence of structural parameters on dynamic characteristics and wind-induced buffeting responses of a super-long-span cable-stayed bridge

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