Predicting strains in embedded reinforcement based on surface deformation obtained by digital image correlation technique
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Détails bibliographiques
| Auteur(s): |
Ali Mirzazade
(Luleå University of Technology, Luleå, Sweden)
Cosmin Popescu 
(Luleå University of Technology, Luleå, Sweden; SINTEF Narvik AS, Narvik, 8517, Norway)
Thomas Blanksvärd (Luleå University of Technology, Luleå, Sweden) Björn Täljsten (Luleå University of Technology, Luleå, Sweden) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Publié dans: | IABSE Congress Ghent 2021 | ||||
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| Page(s): | 425-434 | ||||
| Nombre total de pages (du PDF): | 10 | ||||
| DOI: | 10.2749/ghent.2021.0425 | ||||
| Abstrait: |
This study is carried out to assess the applicability of using a digital image correlation (DIC) system in structural inspection, leading to deploy innovative instruments for strain/stress estimation along embedded rebars. A semi-empirical equation is proposed to predict the strain in embedded rebars as a function of surface strain in RC members. The proposed equation is validated by monitoring the surface strain in ten concrete tensile members, which are instrumented by strain gauges along the internal steel rebar. One advantage with this proposed model is the possibility to predict the local strain along the rebar, unlike previous models that only monitored average strain on the rebar. The results show the feasibility of strain prediction in embedded reinforcement using surface strain obtained by DIC. |
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| Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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