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Damage detection of a steel truss bridge using frequency response function curvature method
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Structural Engineering and Bridges.
2013 (English)Report (Other academic)
Abstract [en]

Damage detection of civil infrastructure has gained great attention for decades. Frequency response function (FRF) curvature method, proposed by Maia and Silva [1], is a common damage detection method. However being reported in many articles to be promising in simulation and experiment, the method lacks application to real structure. We applied this method to the bridge over Åby älv, Sweden. The bridge underwent a dynamic test including forced vibration test in August 2013. In the test, artificial damage was introduced to one of the crossbeams, changing the severity at four different levels. The damage index of FRF curvature method was calculated from the real data of the bridge in each damage case. The damage index was compared between the four damage cases and also between two different setups. From the results, FRF curvature method appeared to have potential in damage detection of the bridge in a certain condition.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. , 6 p.
Series
TRITA-BKN Rapport, ISSN 1103-4289
Keyword [en]
Damage detection; railway bridge; FRF curvature; load shaker; accelerometer
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:kth:diva-139067ISRN: KTH/BKN/R-148-SEOAI: oai:DiVA.org:kth-139067DiVA: diva2:683236
Note

QC 20140103

Available from: 2014-01-03 Created: 2014-01-03 Last updated: 2017-05-29Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf