Repositório Institucional da Universidade de Aveiro > Departamento de Engenharia Civil > CIVIL - Comunicações >
 Seismic behaviour evaluation and strengthening of RC buildings
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/8193

title: Seismic behaviour evaluation and strengthening of RC buildings
authors: Varum, H.
Costa, A.
Molina, J.
Pinto, A.
issue date: 2007
abstract: Reinforced concrete buildings constructed until the late 1970’s in most southern European countries were designed and constructed without considering earthquake provisions, constituting a significant risk. Recent major earthquakes around the world have evidenced that this type of existing buildings lacking appropriate seismic resisting characteristics are very vulnerable. Their retrofit or replacement should be made in order to reduce vulnerability, and consequent risk, to currently accepted levels. The development of retrofitting techniques represents a key issue in order to avoid both human casualties and economic losses in future events. Despite the advantages of a refined non-linear dynamic structural fibre modelling, it must be admitted that this approach can frequently become elaborated and costly. This fact sustains the development of less complicated structural models without debasing the essential features of dynamic response. Thus, it is proposed a simplified methodology for non-linear dynamic analysis of buildings based on the multi-modal spectral seismic response. It is also proposed an optimisation tool for the strengthening design of existing buildings.
URI: http://hdl.handle.net/10773/8193
source: ISSRR 2007: International Symposium on Seismic Risk Reduction: The JICA Technical Cooperation Project in Romania
appears in collectionsCIVIL - Comunicações

files in this item

file description sizeformat
I_052.pdf564.13 kBAdobe PDFview/open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2