In the present economy, seismic loss estimation is extremely important for planning civil protection strategies and for predicting costs for restoring or retrofitting damaged buildings after earthquakes. Fragility curves are a fundamental tool for seismic risk assessment. They can be obtained using different approaches, mainly statistical analysis of observational damage data or numerical modelling. Observational damage data from past earthquakes are commonly used worldwide for the development of new empirical fragility curves or for validating existing ones based on mechanical models. The present paper focuses on the definition of observational fragility curves for RC precast buildings using damage data collected for almost 1800 buildings after the Emilia seismic sequence that struck the north of Italy in 2012. In particular, the building stock was subdivided into six main typologies with homogenous features. Parametric fragility curves for the different typologies and for different damage states, allowed to distinguish the fragility of the different typologies.

Empirical seismic fragility of different typologies of precast RC industrial buildings

E. Ongaretto
;
N. Buratti
;
M. Savoia
2019

Abstract

In the present economy, seismic loss estimation is extremely important for planning civil protection strategies and for predicting costs for restoring or retrofitting damaged buildings after earthquakes. Fragility curves are a fundamental tool for seismic risk assessment. They can be obtained using different approaches, mainly statistical analysis of observational damage data or numerical modelling. Observational damage data from past earthquakes are commonly used worldwide for the development of new empirical fragility curves or for validating existing ones based on mechanical models. The present paper focuses on the definition of observational fragility curves for RC precast buildings using damage data collected for almost 1800 buildings after the Emilia seismic sequence that struck the north of Italy in 2012. In particular, the building stock was subdivided into six main typologies with homogenous features. Parametric fragility curves for the different typologies and for different damage states, allowed to distinguish the fragility of the different typologies.
2019
XVIII Convegno Anidis - L'ingegneria Sismica in Italia
61
70
E. Ongaretto, N. Buratti, M. Savoia
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/730671
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact