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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. An indirect bridge monitoring approach is employed is this paper, in which the acceleration responses from an instrumented train are used to estimate the natural frequencies of each span of the viaduct. An Ensemble Empirical Mode Decomposition (EEMD)-based Hilbert Huang Transform (HHT) technique is employed to identify the natural frequency of each span from the signals indirectly measured on the train. This is carried out by calculating the average of the Instantaneous Frequencies (IFs) using 41 runs of the instrumented train. To assess the feasibility of the indirect approach, direct monitoring approaches were also implemented using accelerometers attached to the spans of the viaduct. The measurements were carried out in twelve stages. In each stage, a different span was instrumented and monitored using five accelerometers placed on that span. 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 and shows the locations of the two replaced spans with higher stiffness that have higher natural frequencies compared to other spans. This full-scale approach expands the potential for applications of bridge–vehicle dynamic interaction responses, along with their ability to be demonstrators of successful implementations of decisions on public infrastructure.

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Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Acceleration Responses Collected From a Passenger Train

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Abdollah Malekjafarian,
  • Muhammad Arslan Khan,
  • Ramin Ghiasi,
  • Eugene J. OBrien,
  • E. Alexandra Micu,
  • Cathal Bowe

摘要

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. An indirect bridge monitoring approach is employed is this paper, in which the acceleration responses from an instrumented train are used to estimate the natural frequencies of each span of the viaduct. An Ensemble Empirical Mode Decomposition (EEMD)-based Hilbert Huang Transform (HHT) technique is employed to identify the natural frequency of each span from the signals indirectly measured on the train. This is carried out by calculating the average of the Instantaneous Frequencies (IFs) using 41 runs of the instrumented train. To assess the feasibility of the indirect approach, direct monitoring approaches were also implemented using accelerometers attached to the spans of the viaduct. The measurements were carried out in twelve stages. In each stage, a different span was instrumented and monitored using five accelerometers placed on that span. 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 and shows the locations of the two replaced spans with higher stiffness that have higher natural frequencies compared to other spans. This full-scale approach expands the potential for applications of bridge–vehicle dynamic interaction responses, along with their ability to be demonstrators of successful implementations of decisions on public infrastructure.