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Nonlinear Analytical Procedure for Predicting Debonding of Laminate from Substrate Subjected to Monotonic or Cyclic Load.
Lamberti, Marco; Ascione, Francesco; Napoli, Annalisa; Razaqpur, Ghani; Realfonzo, Roberto.
Afiliação
  • Lamberti M; ENEA, Research Center Brasimone, 40032 Camugnano, Italy.
  • Ascione F; CNRS, Centrale Marseille, LMA, Aix-Marseille University, 13453 Marseille, France.
  • Napoli A; Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy.
  • Razaqpur G; Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy.
  • Realfonzo R; Sino-Canada Joint R&D Center on Water and Environmental Safety, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
Materials (Basel) ; 15(23)2022 Dec 06.
Article em En | MEDLINE | ID: mdl-36500186
ABSTRACT
The bonding of steel/fiber-reinforced polymer (SRP/FRP) laminate strips to concrete/masonry elements has been found to be an effective and efficient technology for improving the elements' strength and stiffness. However, premature laminate-substrate debonding is commonly observed in laboratory tests, which prevents the laminate from reaching its ultimate strength, and this creates uncertainty with respect to the level of strengthening that can be achieved. Therefore, for the safe and effective application of this technology, a close estimate of the debonding load is necessary. Towards this end, in this paper, a new, relatively simple, semi-analytic model is presented to determine the debonding load and the laminate stress and deformation, as well as the interfacial slip, for concrete substrates bonded to SRP/FRP and subjected to monotonic or cyclic loading. In the model, a bond-slip law with a linearly softening branch is combined with an elasto-plastic stress-strain relationship for SRP. The model results are compared with available experimental data from single-lap shear tests, with good agreement between them.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article