Test standardisation for FRP-to-concrete bond characterisation

SERBESCU, Andreea, GUADAGNINI, Maurizio and PILAKOUTAS, Guadagnini (2017). Test standardisation for FRP-to-concrete bond characterisation. In: ACIC - 8th Biennial Conference on Advanced Composites in Construction., University of Sheffield, UK, 5th September 2017-7th September 2017. (Unpublished)

A.Serbescu - Full Paper.pdf - Accepted Version
All rights reserved.

Download (649kB) | Preview
Official URL: https://acic-conference.com/news/8th-biennial-conf...


Brittle debonding of flexural FRP strengthening systems can occur at relatively low load levels, thus significantly reducing the FRP effectiveness and affecting the overall structural safety. Although various design models against debonding are available in the literature, they lead either unsafe or too conservative predictions. This could mainly be attributed to the lack of standardised methodology for experimental bond characterisation. Accordingly, design models continue to be developed or calibrated based on limited sets of experimental data. This paper presents an investigation into the suitability of the double shear test setup to become a standardised test and suggests potential improvements. The experimental program in this study comprised a series of 20 double shear specimens and 6 types of FRP systems. The performance of the adopted double shear test set up is analysed in terms of reliability of bond stress-slip data obtained as well as the ease of specimen preparation and testing. In addition, the influence of the roughness of the concrete substrate on bond capacity is also assessed.

Item Type: Conference or Workshop Item (Paper)
Departments - Does NOT include content added after October 2018: Faculty of Social Sciences and Humanities > Department of Natural and Build Environment
Depositing User: Andreea Serbescu
Date Deposited: 24 Sep 2018 10:26
Last Modified: 18 Mar 2021 07:50
URI: https://shura.shu.ac.uk/id/eprint/21707

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics