Load tests and modal analysis of bridges

Frýba, Ladislav; Pirner, M.

doi:10.1016/s0141-0296(00)00026-2

Cited by 86 publications

(47 citation statements)

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“…By referring to domestic and foreign research achievements [17][18][19] , our research group selected highway sectionsG4 and G45 of Hebei in November 2013, carried out traffic surveys and axle load statistics. We used the principle of fatigue damage equivalence, obtained corresponding typical vehicle load spectrum (Table 1).…”

Section: Typical Vehicle Modelingmentioning

confidence: 99%

Load Spectrum and Fatigue Life Computer Analysis of Prestressed Concrete Bridges

Qin¹,

Dou²,

Wan³

2015

IJSIA

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Section: Typical Vehicle Modelingmentioning

confidence: 99%

Load Spectrum and Fatigue Life Computer Analysis of Prestressed Concrete Bridges

Qin¹,

Dou²,

Wan³

2015

IJSIA

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“…In India, mostly the assessment of highway bridges is done by visual inspections which do not detect and notify overall behavioral defects in the structure [4]. However, these limitations can be overcome by vibration-based methods [5]. A successful condition for the assessment relies heavily on the accuracy of the measured vibration properties, such as natural frequencies and mode shapes of structures [6].…”

Section: Introductionmentioning

confidence: 99%

Time–frequency and wavelet-based study of an old steel truss bridge before and after retrofitting

Walia

Patel

Vinayak

et al. 2015

J Civil Struct Health Monit

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Signal-processing techniques have been widely used in structural health monitoring and nondestructive evaluation. Wavelet analysis, a relatively new mathematical and signal-processing tool, for damage detection in various civil and mechanical structures. It is a time-frequency analysis that provides more detailed information about nonstationary signals which traditional Fourier analysis miss. This paper aims to provide the damage identification in an existing 100-year-old deck-type steel truss bridge using-frequency-and time-frequency-based approaches. The dynamic testing of steel bridge was carried out using accelerometers for the damaged state and after partial retrofitting under similar environmental conditions and instrumental set up. The comparison is carried out using power spectral density, short-time Fourier transform, and wavelet packet transform with respect to both the upstream and the downstream trusses of the bridge. Higher and uniform dissipation of energy at resonatingfrequency of the respective node after retrofitting showed intactness of joints. The variations of power spectral density in the first mode of the upstream and the downstream trusses clearly revealed improvements in the bridge signifying the importance of generating a signature of bridge before and after retrofitting. The status upgradations for the upstream and the downstream trusses obtained were different due to differential levels of damage in the bridge. Also, after retrofitting, the structural elemental behavior obtained was not the same as desired.

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“…Therefore, the accuracy of the FE model strongly depends on the experimental validation of the numerical results that is usually performed by means of static or quasi-static measurements based on load tests [11], dynamic measurements based on ambient vibration or forced vibration tests [8,13], or a combination of static and dynamic measurements [25]. In recent years, in situ dynamic testing has been used and reported by several authors [12,28] in the scope of the identification of the modal parameters of structures, namely the natural frequencies and mode shapes.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms

Ribeiro

Calçada

Delgado

2015

Computational Methods in Applied Sciences

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This chapter presents the main experimental calibration methodologies of finite element numerical models, with particular focus on methodologies based on modal parameters. In this context, the computational implementation of an iterative method based on a genetic algorithm is described. The iterative method involves the resolution of an optimization problem, which involves the minimization of an objective function by varying a set of preselected model parameters. The objective function includes residuals associated to natural frequencies and mode shapes. The proposed methodology is applied to the calibration of the dynamic models of two railway bridges, São Lourenço bridge and Alverca viaduct, both located in the northern line of the Portuguese railways in recently upgraded track sections. The calibration results demonstrate a very good agreement between numerical and experimental modal responses and a significant improvement of the numerical models before calibration. Also the stability of a significant number of parameters, considering different initial populations, proved the robustness of the genetic algorithm in the scope of the optimization of the numerical models. The updated numerical models were validated based on dynamic tests under railway traffic. The results showed an excellent agreement between numerical and experimental responses in terms of displacements and accelerations of the bridges' decks.

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Load tests and modal analysis of bridges

Cited by 86 publications

References 1 publication

Load Spectrum and Fatigue Life Computer Analysis of Prestressed Concrete Bridges

Load Spectrum and Fatigue Life Computer Analysis of Prestressed Concrete Bridges

Time–frequency and wavelet-based study of an old steel truss bridge before and after retrofitting

Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms

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