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A non‐contact vision‐based system for multipoint displacement monitoring in a cable‐stayed footbridge
Author(s) -
Xu Yan,
Brownjohn James,
Kong Dali
Publication year - 2018
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2155
Subject(s) - deck , bridge (graph theory) , engineering , displacement (psychology) , structural health monitoring , modal , pedestrian , vibration , structural engineering , modal analysis , deformation monitoring , video camera , deformation (meteorology) , real time computing , computer science , artificial intelligence , finite element method , acoustics , civil engineering , psychology , physics , psychotherapist , medicine , chemistry , meteorology , polymer chemistry
Summary Vision‐based monitoring receives increased attention for measuring displacements of civil infrastructure such as towers and bridges. Currently, most field applications rely on artificial targets for video processing convenience, leading to high installation effort and focus on only single‐point displacement measurement, for example, at mid‐span of a bridge. This study proposes a low‐cost and non‐contact vision‐based system for multipoint displacement measurement based on a consumer‐grade camera for video acquisition and a custom‐developed package for video processing. The system has been validated on a cable‐stayed footbridge for deck deformation and cable vibration measurement under pedestrian loading. The analysis results indicate that the system provides valuable information about bridge deformation of the order of a few centimetres induced, in this application, by pedestrian passing. The measured data enable accurate estimation of modal frequencies of either the bridge deck or the bridge cables and could be used to investigate variations of modal frequencies under varying pedestrian loads.

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