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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Malekjafarian, Abdollah
University College Dublin
in Cooperation with on an Cooperation-Score of 37%
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Publications (13/13 displayed)
- 2024Predicting the duration of motorway incidents using machine learningcitations
- 2023Methodological Framework for Assessing and Strengthening the Resistance of Railway Critical Infrastructure Elements
- 2022Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Studycitations
- 2021Measuring traffic load on Forth Road Suspension Bridge using Weigh-InMotion and image data
- 2020Identifying Critical Clusters of Traffic-Loading Events in Recurrent Congested Conditions on a Long-Span Road Bridgecitations
- 2019Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2019Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic datacitations
- 2018Estimation of traffic load effects on Forth Road Bridge using camera measurements
- 2017Damage detection using curvatures obtained from vehicle measurementscitations
- 2017On the use of a passing vehicle for the estimation of bridge mode shapescitations
- 2017On the use of drive-by measurement for indirect bridge monitoring
- 2017Application of empirical mode decomposition to drive-by bridge damage detectioncitations
- 2016A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridgecitations
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article
Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study
Abstract
<jats:p>In this paper, a field study is carried out to monitor the natural frequencies of Malahide viaduct bridge which is located in the north of Dublin. The bridge includes a series of simply supported spans, two of which collapsed in 2009 and were replaced. The replaced spans are stiffer than most of the others and these differences resulted in higher natural frequencies. An indirect bridge monitoring approach is employed in which acceleration responses from an instrumented train are used to estimate the natural frequencies of each span of the viaduct showing the locations of the two replaced spans with higher stiffness. For the indirect approach, an Ensemble Empirical Mode Decomposition (EEMD)-based Hilbert Huang Transform (HHT) technique is employed to identify the natural frequency of each span. This is carried out by analysing the Instantaneous Frequencies (IFs) from the calculated intrinsic mode functions. The average of the IFs calculated using 41 runs of the instrumented train (with varying carriage mass and speed for each run) are used to estimate the natural frequencies. To assess the feasibility of the indirect approach, a bespoke set of direct measurements was taken using accelerometers attached successively on each span of the viaduct. The free and forced vibrations from each span are used to estimate the first natural frequencies. The frequencies obtained from drive-by measurements are compared to those from direct measurements which confirms the effectiveness of indirect approaches. In addition, the instantaneous amplitudes of the drive-by signals are used to indicate the location of the stiffer spans. Finally, the accuracy and robustness of the indirect approaches for monitoring of multi span bridges are discussed.</jats:p>
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