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Bridge Damage Detection Approach Using a Roving Camera Technique.

Darragh Lydon1, Myra Lydon1, Rolands Kromanis2

  • 1School of Natural and Built Environment, Queen's University Belfast, Belfast BT7 1NN, UK.

Sensors (Basel, Switzerland)
|February 13, 2021
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Summary

A new roving camera technique effectively monitors bridge health by tracking displacement, identifying damage without costly, complex sensor networks. This method offers a practical solution for structural health monitoring (SHM) of bridges.

Keywords:
computer visiondamage detectionsensor rovingstructural health monitoring

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Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Computer Vision

Background:

  • Bridges face increasing deterioration due to climate events, traffic, and underinvestment.
  • Structural Health Monitoring (SHM) is crucial for assessing bridge condition.
  • Computer vision offers non-contact, low-cost displacement data for SHM.

Purpose of the Study:

  • To propose and evaluate a roving camera technique for bridge damage identification.
  • To assess the feasibility of using displacement as a key damage indicator.
  • To develop a cost-effective SHM solution negating complex sensor installations.

Main Methods:

  • A laboratory bridge model was subjected to live loading.
  • A roving camera system captured displacement data.
  • Two distinct methods analyzed changes in global displacement to detect damage.

Main Results:

  • The roving camera technique successfully captured bridge response data.
  • Displacement analysis effectively identified simulated damage in the model.
  • The proposed method demonstrated damage detection capabilities.

Conclusions:

  • A roving camera approach provides a viable SHM solution for bridges.
  • Displacement monitoring is a reliable indicator of bridge damage.
  • This technique reduces the need for extensive and costly sensor networks.