Fiber reinforced cementitious matrix (FRCM) composites represent an effective solution for strengthening and retrofitting existing reinforced concrete and masonry structures. The bond behavior between the FRCM composite and the support is of particular importance for the effectiveness of the strengthening intervention. In this paper the FRCM-concrete bond behavior is investigated using a three-dimensional numerical approach. The numerical model presented was calibrated and validated with a wide experimental programme previously conducted by the authors on PBO FRCM-concrete joints tested using the single-lap direct-shear test set-up. The results obtained from the numerical model of one of the specimens tested are shown in this paper. Good agreement between the experimental and numerical load responses and the strain profiles was obtained.

An Investigation of PBO FRCM-Concrete joint behavior using a three-dimensional numerical approach

D'antino, T.;
2015

Abstract

Fiber reinforced cementitious matrix (FRCM) composites represent an effective solution for strengthening and retrofitting existing reinforced concrete and masonry structures. The bond behavior between the FRCM composite and the support is of particular importance for the effectiveness of the strengthening intervention. In this paper the FRCM-concrete bond behavior is investigated using a three-dimensional numerical approach. The numerical model presented was calibrated and validated with a wide experimental programme previously conducted by the authors on PBO FRCM-concrete joints tested using the single-lap direct-shear test set-up. The results obtained from the numerical model of one of the specimens tested are shown in this paper. Good agreement between the experimental and numerical load responses and the strain profiles was obtained.
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
978-1-905088-63-8
Concrete; Debonding; Fiber reinforced cementitious matrix; Finite element; Shear stress; Strengthening; Environmental Engineering; Civil and Structural Engineering; Computational Theory and Mathematics; Artificial Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1043261
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