| dc.contributor.author | Bado, Mattia Francesco | |
| dc.contributor.author | Kaklauskas, Gintaris | |
| dc.contributor.author | Casas, Joan Ramon | |
| dc.date.accessioned | 2023-09-18T20:15:40Z | |
| dc.date.available | 2023-09-18T20:15:40Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1757-8981 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/148324 | |
| dc.description.abstract | Distributed Optical Fiber Sensors (DOFS) are strain measuring tools whose potential related to the civil engineering field has been discovered in the latest years only. A unique utility lies in the possibility of bonding these extremely thin sensors to steel reinforcement bars which will later be embedded in concrete elements (RC) in order to monitor its mechanical strains. The present paper presents the results of an experimental campaign that saw the tensing of two RC tensile members (ties) with DOFS-instrumented steel rebars providing strain readings every 7.5mm. Their cracking behavior allows to gain insight on the steel rebar's strain profile when surrounded by cracking concrete. The described results are novel as measurements that are accurate, completely distributed, experimentally extracted, both before and after concrete cracking, have been impossible up until now. The internal strain measurements are additionally integrated with an external Digital Image Correlation (DIC) monitoring which provides data on the displacements and strains of the members' surfaces. The present research represents the beginning of an in-depth experimental campaign aimed at providing reinforcement strain data for multiple loaded RC ties encompassing different geometrical features (concrete cover, reinforcement ratio, bar diameter). | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-8 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Scopus | |
| dc.source.uri | https://doi.org/10.1088/1757-899X/615/1/012101 | |
| dc.title | Performance of Distributed Optical Fiber Sensors (DOFS) and Digital Image Correlation (DIC) in the monitoring of RC structures | |
| dc.type | Straipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB | |
| dcterms.references | 16 | |
| dc.type.pubtype | P1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas Technical University of Catalonia (UPC) | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Technical University of Catalonia (UPC) | |
| dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | SD0101 - Pažangios statinių konstrukcijos / Smart building structures | |
| dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
| dc.subject.en | Distributed Optical Fiber Sensors (DOFS) | |
| dc.subject.en | Digital Image Correlation (DIC) | |
| dc.subject.en | RC | |
| dcterms.sourcetitle | IOP conference series: Materials science and engineering: 7th international conference on Euro Asia Civil Engineering Forum, 30 September to 2 October 2019, Stuttgart, Germany | |
| dc.description.volume | vol. 615 | |
| dc.publisher.name | IOP Publishing | |
| dc.publisher.city | Bristol | |
| dc.identifier.doi | 2-s2.0-85074662122 | |
| dc.identifier.doi | 85074662122 | |
| dc.identifier.doi | 1 | |
| dc.identifier.doi | 10.1088/1757-899X/615/1/012101 | |
| dc.identifier.elaba | 43903519 | |