Issue |
MATEC Web Conf.
Volume 191, 2018
1st International Conference on Non-Destructive Evaluation of Composite Structures (NDECS 2017)
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Article Number | 00006 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/matecconf/201819100006 | |
Published online | 10 August 2018 |
Jacketing of existing reinforced concrete structures with composites in view of seismic rehabilitation
1
Department of Physics, Faculty of Sciences at Tetouan, University Abdelmalek Essaadi, Tetouan 93030, Morocco
2
Department STIC, National School of Applied Sciences at Tetouan, University Abdelmalek Essaadi, Tetouan 93030, Morocco
a
Corresponding author : bourassiham@hotmail.com
Seismic rehabilitation of pre-code existing buildings requires the choice of the method of strengthening and the determination of the amount of materials to be used optimally. Accurate evaluation of the building response in terms of its capacity at the initial state and that obtained after application of some reinforcement should be performed. For regular buildings, the nonlinear static analysis procedure constitutes a powerful tool that is used to estimate seismic performance. This procedure is characterised by its high effectiveness to account for the non-linear characteristics of the materials involved and provides a direct mean to shape the capacity curve of the construction; enabling then to make the correct decision about rehabilitation task with regards to a desired performance state. In this work, the nonlinear static pushover analysis was performed by means of ZeusNL software. Use was made of the Moroccan seismic regulations RPS2000 version 2011to determine the targeted seismic demand. Considering a four floor reinforced concrete building which is undersized with regards to actual seismic regulation, jacketing with fiber reinforced composites at different reinforcement rates was analyzed. The obtained results were expressed in terms of the lateral resistance capacity and the building tip displacement. Optimal jacketing of columns was then determined.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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