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There is a lack of publicly available vehicle measurements to test and validate drive-by bridge monitoring methods. Relevant monitoring campaigns exist, but the results are scarce and generally unavailable to the research community. Therefore, this document presents a numerical dataset to support the advancements in the field of drive-by methods. The dataset is openly available and can readily be downloaded from an online repository. This set of numerically simulated vehicle responses have been generated using an open-source vehicle-bridge interaction model. The repository contains over half a million individual vehicle crossing events for a range of monitoring scenarios, bridge spans, damage locations, damage magnitudes, road profile conditions and vehicle properties. The dataset aims at being a reference solution and benchmark for future developments in the field of drive-by bridge monitoring. In addition, this document includes results from a selection of damage detection data-driven drive-by methods using the signals provided by the dataset.

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Numerical Dataset for Drive-By Monitoring and Application Examples

  • 会议论文

  • 发表日期：

    2025年

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  • Daniel Cantero,
  • Zohaib Sarwar,
  • Abdollah Malekjafarian,
  • Robert Corbally,
  • Mehrisadat Makki Alamdari,
  • Prasad Cheema,
  • Jatin Aggarwal,
  • Hae Young Noh,
  • Jingxiao Liu

摘要

There is a lack of publicly available vehicle measurements to test and validate drive-by bridge monitoring methods. Relevant monitoring campaigns exist, but the results are scarce and generally unavailable to the research community. Therefore, this document presents a numerical dataset to support the advancements in the field of drive-by methods. The dataset is openly available and can readily be downloaded from an online repository. This set of numerically simulated vehicle responses have been generated using an open-source vehicle-bridge interaction model. The repository contains over half a million individual vehicle crossing events for a range of monitoring scenarios, bridge spans, damage locations, damage magnitudes, road profile conditions and vehicle properties. The dataset aims at being a reference solution and benchmark for future developments in the field of drive-by bridge monitoring. In addition, this document includes results from a selection of damage detection data-driven drive-by methods using the signals provided by the dataset.