4.6 Article

Distributed dynamic fibre-optic strain monitoring of the behaviour of a skewed masonry arch railway bridge

期刊

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s13349-021-00493-w

关键词

Masonry arch bridge; Skewed arch; Railway bridge; Structural Health Monitoring; Fibre optics; Fibre Bragg Gratings

资金

  1. Network Rail
  2. EPSRC Doctoral Training Partnership [EP/M506485/1]
  3. EPSRC
  4. Innovate UK
  5. [EP/I019308/1]
  6. [EP/K000314/1]
  7. [EP/L010917/1]
  8. [EP/N021614/1]
  9. EPSRC [EP/L010917/1, EP/N021614/1, EP/K000314/1, EP/I019308/1] Funding Source: UKRI

向作者/读者索取更多资源

This paper investigates the dynamic structural response of a skewed masonry arch railway bridge through detailed monitoring, revealing a sensitivity to variables such as time of day, train speed, and temperature. This sensitivity can be localized throughout the bridge and influenced by existing damage, highlighting the importance of distinguishing additional damage from other effects.
Skewed masonry arch railway bridges are common, yet their structural behaviour under typical working loads, along with gradual changes in behaviour due to degradation, can be difficult to determine. This paper aims to address this problem through detailed monitoring of a damaged, skewed masonry arch railway bridge in the UK, which was recently repaired. A comprehensive Structural Health Monitoring system was installed, including an array of fibre-optic Fibre Bragg Grating (FBG) sensors to provide distributed sensing data across a large portion of the bridge. This FBG monitoring data is used, in this paper, to investigate the typical dynamic structural response of the skewed bridge in detail, and to quantify the sensitivity of this response to a range of variables. It is observed that the dynamic bridge response is sensitive to the time of day, which is a proxy for passenger loading, to the train speed, and to temperature. It is also observed that the sensitivity of the response to these variables can be local, in that the response can differ throughout the bridge and be affected by existing local damage. Identifying these trends is important to distinguish additional damage from other effects. The results are also used to evaluate some typical assumptions regarding bridge behaviour, which may be of interest to asset engineers working with skewed masonry arch bridges.

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