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.
E. Ongaretto, N.B. (2019). Empirical seismic fragility of different typologies of precast RC industrial buildings. Pisa : Pisa University Press.
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.