Assessment of existing steel railway bridges

Caglayan, Ozden; Özakgül, Kadir; Tezer, Ovunc

doi:10.1016/j.jcsr.2011.08.001

Cited by 29 publications

(15 citation statements)

References 32 publications

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“…In those cases, ambient vibration tests are generally preferred because property owners may not want to apply such external forces. However, free vibration data can still be obtained from some of those large structures by measuring, for example, residual vibrations after train passage or truck passage …”

Section: Field Validation Of the Proposed Methodsmentioning

confidence: 99%

“…However, free vibration data can still be obtained from some of those large structures by measuring, for example, residual vibrations after train passage or truck passage. [17][18][19][20]…”

Section: Table 1 Frequency Values At the Natural Frequenciesmentioning

confidence: 99%

“…One of the simple and well‐established approaches for dynamic testing is to measure the free vibration after an impulsive or forced excitation . Free vibration can be encountered in heel‐drop tests, jump tests, step relaxation tests (pullback tests), and residual vibration measurements after forced vibrations, especially after vehicle‐ (or train‐) induced loadings . Free vibration tests are also advantageous because of the availability of powerful and automatic pre/postprocessing techniques, including the eigensystem realization algorithm (ERA) …”

Section: Introductionmentioning

confidence: 99%

“…6 Free vibration can be encountered in heel-drop tests, [7][8][9][10][11] jump tests, 8,12,13 step relaxation tests (pullback tests), 14 and residual vibration measurements after forced vibrations, 15,16 especially after vehicle-(or train-) induced loadings. [17][18][19][20] Free vibration tests are also advantageous because of the availability of powerful and automatic pre/postprocessing techniques, including the eigensystem realization algorithm (ERA). 21 Despite the advantages of free vibration tests, system identification of civil infrastructure using free vibration data suffers from severe noise problems.…”

mentioning

confidence: 99%

“…Similar to impact tests by instrumented hammers, [22][23][24] free vibration tests of civil structures are difficult because of small vibration amplitudes, high structural damping, and ambient vibrations caused by unmeasured excitations (wind, traffic, etc.). Therefore, the main applications for free vibration testing have been limited primarily to preliminary tests 8,24 and evaluations of single dominant (or only a few) modes, 7,14,[17][18][19] structural components, 9,12 and pedestrian bridges. 7,10,11 A common technique to reduce the noise effect in the measurement data is to obtain multiple samples of the structural response and then average the data in an appropriate way.…”

mentioning

confidence: 99%

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Free vibration-based system identification using temporal cross-correlations

Narazaki

Hoskere

Spencer

2018

Struct Control Health Monit

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Summary Free vibration measurements provide useful information in performing modal identification of civil infrastructure. Free vibration tests have been carried out frequently, because of the simple implementation and the availability of well‐established pre/postprocessing techniques. In particular, the eigensystem realization algorithm (ERA) can be used with free vibration data to extract modal information in a straightforward and automatic manner. However, using free vibration data with the ERA is often problematic for civil infrastructure, because of the significant noise in the measurements caused primarily by small vibration amplitudes and higher structural damping. To address this problem, a method for generating ERA input is proposed that reduces the effect of noise in measured free vibration data. The proposed method is an extension of the natural excitation technique developed for stationary random vibration signals. The natural excitation technique method is adjusted to accommodate free vibration data by replacing the cross‐correlations of stationary random processes with the temporal cross‐correlations of free vibration signals. Then, an approach to reduce the noise effect in the temporal cross‐correlations is proposed based on linear superposition of the cross power spectrum densities of overlapping data segments. Finally, results of the ERA using the proposed approach are compared with the corresponding results from directly applying ERA to the free vibration data. The comparisons using numerical and field test data show that the proposed method outperforms the conventional approach, especially for the modes whose amplitudes are small in the measured free vibration signals.

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Section: Field Validation Of the Proposed Methodsmentioning

confidence: 99%

Section: Table 1 Frequency Values At the Natural Frequenciesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Free vibration-based system identification using temporal cross-correlations

Narazaki

Hoskere

Spencer

2018

Struct Control Health Monit

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Analysis of bow‐string arch using geometric data from 3D scanning

Odrobiňák,

Farbák,

Chromčák

et al. 2024

ce papers

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The utilization of currently measured geometric data for analysis of arch bridges and their stability is discussed. The presented contribution follows a set of research activities focused on real values of geometric imperfections of a steel bow‐string arch bridge using 3D scanning. Relatively new railway arch bridge with span 124.8 m is discussed. Deviations from the theoretical design shape of the arch were recorded during the erection stage and after a proof‐load test of the bridge, as well. Thus, it was possible to observe if and how the geometric imperfection changes during construction. Numerical models were created to perform geometrically nonlinear analysis. Both theoretical and real imperfections obtained by 3D scanning were considered in the analysis to compare and quantify the influence of the actual deformed shape. Finally, the obtained data, their comparison, the applicability of the presented methods, and possible pitfalls of the procedure are discussed.

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Improvement of the Calculation of the Floating Bridge Hinge System of the Two Supporting Ferry

Tryapkin

Tryapitsin

2020

VIII International Scientific Siberian Transport Forum

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Assessment of existing steel railway bridges

Cited by 29 publications

References 32 publications

Free vibration-based system identification using temporal cross-correlations

Free vibration-based system identification using temporal cross-correlations

Analysis of bow‐string arch using geometric data from 3D scanning

Improvement of the Calculation of the Floating Bridge Hinge System of the Two Supporting Ferry

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