Re-deployable sensors for modal estimates of bridges and detection of damage-induced changes in boundary conditions
Mode shapes are sensitive to the structural condition of bridges but a reasonable estimate of such changes require several accelerometers, which can be resource intensive. This paper obviates this problem through a novel structure health monitoring (SHM) approach for estimating modal parameters of bridges, including damage-induced changes of boundary conditions by using progressively re-deploying sensors along a monitored bridge. This concept of re-deployable sensors and subsequent use of a series of measurements allow extracting data from different bridge segments and also to get an indication of the condition of the bridge through frequency domain decomposition. Data from different segments are combined to estimate the global mode shape of the bridge and its gradient is observed to be indicative of support stiffness change. The concept is successfully tested through a full-scale field trial on a railway bridge in the Republic of Ireland, before and after the rehabilitation of its supports. The results are expected to guide future on-site measurement of damages due to flooding, scour, and other natural hazards, along with the effectiveness of intervention actions like repair and rehabilitation, providing a clear evidence base for practical value of SHM.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15732479
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Supplemental Notes:
- © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Khan, Muhammad Arslan
- McCrum, Daniel P
- OBrien, Eugene J
- Bowe, Cathal
- Hester, David
- McGetrick, Patrick J
- O’Higgins, Connor
- Casero, Miguel
- Pakrashi, Vikram
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 1177-1191
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Serial:
- Structure and Infrastructure Engineering
- Volume: 18
- Issue Number: 8
- Publisher: Taylor & Francis
- ISSN: 1573-2479
- EISSN: 1744-8980
- Serial URL: http://www.tandfonline.com/loi/nsie20
Subject/Index Terms
- TRT Terms: Bridges; Data collection; Field tests; Sensors; Structural health monitoring
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01854635
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 15 2022 8:44AM