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Distributed Sensing (DOFS) in Reinforced Concrete members for reinforcement strain monitoring, crack detection and bond-slip calculation

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Data
2021
Autorius
Bado, Mattia Francesco
Casas, Joan R.
Kaklauskas, Gintaris
Metaduomenys
Rodyti detalų aprašą
Santrauka
Distributed Optical Fiber Sensors (DOFS) are novel and increasingly popular strain monitoring tools recently applied to the Structural Health Monitoring (SHM) of Reinforced Concrete (RC) structures. Up to now, most applications have seen the instrumenting of the latter's external surfaces yet, in few circumstances, this technique has also been adopted with the scope of measuring the strains present on the embedded reinforcement bars (rebars). Before the advent of DOFS, due to the lack of tools able to perform such investigation in an accurate, completely-distributed and un-intrusive fashion, structural analyses that rely on the knowledge of the rebars’ strains (such as tension stiffening) have always resorted to theoretical, empirical or numerical solutions. Yet, with the potential provided by DOFS, such insight is finally acquirable and represents the start of a new way of understanding the composite behavior of RC structures. The experimental campaign, topic of the present article, intends on taking full advantage of such potential to study the bond stress and slip present on the surface between concrete and steel rebars in differently sized cracking and non-cracking RC tensile members. These are key parameters for the development of any stress transfer approach-based RC structures’ serviceability analysis, thus the importance of using DOFS for this novel application. The DOFS extracted bond/slip laws are further compared with the Model Code 2010’s predictions and seems to provide consistently higher bond stresses per similar slip than the latter.
Paskelbimo data (metai)
2021
URI
https://etalpykla.vilniustech.lt/handle/123456789/150844
Kolekcijos
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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