Infilled RC buildings performances during the 2011 Lorca, Spain, earthquake: Application of FAST approach

F. Gómez-Martínez*, A. Pérez-García, F. De Luca, G. M. Verderame

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

6 Citations (Scopus)
266 Downloads (Pure)

Abstract

A back analysis aimed at the evaluation of reinforced concrete frame buildings performance during the 2011 Lorca, Spain, earthquake is provided by applying FAST method. This is a simplified approach for the estimation of largescale vulnerability of RC moment resisting frame buildings. It accounts for the structural contribution of non-structural masonry infills. Lorca earthquake showed a Peak Ground Acceleration (PGA) three times higher with respect to that recommended by local design code. However, damage observed seldom included building collapses. Characteristics of the seismic event and features of the local building stock are studied aimed at showing, through the application of FAST, whether the low amount of collapses could be a consequence of the additional contribution provided by infills, despite their non-structural role in local code design framework. FAST damage scenario showed a fair agreement with observed damage, providing a confirmation on the structural role played by masonry infills.

Translated title of the contributionInfilled RC buildings performances during the 2011 Lorca, Spain, earthquake: Application of FAST approach
Original languageSpanish
Article numbere065
Pages (from-to)1-14
Number of pages14
JournalInformes de la Construccion
Volume67
Issue number537
DOIs
Publication statusPublished - Jan 2015

Bibliographical note

Date of Acceptance: 19/12/2013

Keywords

  • Brittle failure
  • Damage states
  • FAST
  • Infills
  • Lorca earthquake
  • Seismic code NCSE-02
  • Vulnerability

Fingerprint Dive into the research topics of 'Infilled RC buildings performances during the 2011 Lorca, Spain, earthquake: Application of FAST approach'. Together they form a unique fingerprint.

Cite this