RESEARCH ARTICLE
Experimental vs. Numerical Simulations: Seismic Response of a Half Scale Three-Storey Infilled RC Building Strengthened Using FRP Retrofit
Federica Bianchi1, Roberto Nascimbene1, *, Alberto Pavese2
Article Information
Identifiers and Pagination:
Year: 2017Volume: 11
Issue: Suppl-5, M9
First Page: 1158
Last Page: 1169
Publisher ID: TOCIEJ-11-1158
DOI: 10.2174/1874149501711011158
Article History:
Received Date: 12/01/2017Revision Received Date: 15/05/2017
Acceptance Date: 10/07/2017
Electronic publication date: 29/12/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
In the field of seismic analysis of structures, the use of appropriate Finite Elements software packages to manage more complex numerical models and to run more sophisticated analyses (such as nonlinear dynamic time-history analyses) in very short runtimes has increased significantly in the last decades.
In order to have confidence in the numerical results of these complex analyses, it has become an increasingly widespread practice to verify and validate the FE computers programs against literature case studies as well as experimental results. Focusing on this latter aspect, shaking-table experiments on real buildings play an important role in understanding the actual behaviour of such structures.
Objective:
In the present work, the numerical evaluation of the seismic response of a half scale three-storey infilled RC building that has been strengthened using composite materials (i.e. FRP retrofit) is carried out by adopting specific modelling techniques. The adequacy of the numerical modelling is then verified by comparing numerical results against experimental data.