Predicting strains in embedded reinforcement based on surface deformation obtained by digital image correlation technique
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Bibliografische Angaben
| Autor(en): |
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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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Veröffentlicht in: | IABSE Congress Ghent 2021 | ||||
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| Seite(n): | 425-434 | ||||
| Anzahl der Seiten (im PDF): | 10 | ||||
| DOI: | 10.2749/ghent.2021.0425 | ||||
| Abstrakt: |
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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| Stichwörter: |
Dehnung
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| Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
| Lizenz: | Die Urheberrechte (Copyright) für dieses Werk sind rechtlich geschützt. Es darf nicht ohne die Zustimmung des Autors/der Autorin oder Rechteinhabers/-in weiter benutzt werden. |
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