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Using digital image correlation to evaluate fatigue behavior of strengthened reinforced concrete beams
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.ORCID iD: 0000-0002-5154-7044
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.ORCID iD: 0000-0001-7799-5809
Northern Research Institute.ORCID iD: 0000-0002-8682-876X
2015 (English)In: Engineering structures, ISSN 0141-0296, E-ISSN 1873-7323, Vol. 105, p. 277-288Article in journal (Refereed) Published
Abstract [en]

The fatigue behavior of reinforced concrete beams externally strengthened with carbon fiber reinforced polymer plates and near-surface mounted bars has been investigated using a digital image correlation (DIC) technique. Displacement fields obtained from digital images recorded during specific load cycles in fatigue tests are analyzed to provide information on crack width, beam deflection and curvature, and major principal strains to enable crack detection. The results obtained in this way were compared to data gathered using conventional sensors, revealing that the DIC technique provided very accurate and detailed information. The experimental results for plate-strengthened, bar-strengthened, and unstrengthened beams are discussed.

Place, publisher, year, edition, pages
2015. Vol. 105, p. 277-288
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-3725DOI: 10.1016/j.engstruct.2015.10.017ISI: 000365050000022Scopus ID: 2-s2.0-84945264599Local ID: 18f1496b-2709-4325-b0a8-5532d7d6e2d7OAI: oai:DiVA.org:ltu-3725DiVA, id: diva2:976585
Note
Validerad; 2015; Nivå 2; 20150114 (mohsal)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Mahal, MohammedBlanksvärd, ThomasTäljsten, BjörnSas, Gabriel

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