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February 21, 2026Procedia Structural Integrity1 citationsOpen Access

Comparison of seismic vulnerability for different classes of Italian reinforced concrete buildings

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CCCaterina CarboneMRMaria RotaFMF. Mosele

Key Points

  • The aim is to compare the seismic vulnerability of various classes of Italian reinforced concrete buildings using empirical data.
  • Derived fragility curves from post-earthquake damage data.
  • Reviewed national seismic design codes to identify structural characteristics.
  • Collected and analyzed damage data from the Da.D.O. platform.
  • Assigned global damage levels to buildings based on structural damage.
  • Utilized Maximum Likelihood Estimation (MLE) to derive fragility functions.
  • Fragility curves developed reflect the national seismic design regulatory context.
  • Age of construction and building height are confirmed factors influencing seismic vulnerability.
  • Statistical analysis ensured reliability in the datasets utilized for fragility assessments.

Abstract

In this paper, empirical fragility curves were derived from post-earthquake damage data, to compare the seismic vulnerability of different classes of Italian reinforced concrete (RC) buildings. To identify the primary structural characteristics of the building stock, national seismic design codes were reviewed. The post-earthquake damage data, available on the online Da.D.O. platform, were collected following recent Italian seismic events and they provide information on typological and construction characteristics, as well as the damage observed at different structural components. Each dataset was critically analysed to ensure the reliability of the information used for subsequent statistical analyses. A global damage level was assigned to each surveyed building based on the damage detected at its vertical structure and infills. The ground shaking intensity was locally characterised through the Peak Ground Acceleration (PGA) values evaluated from the shakemaps provided by the Italian National Institute of Geophysics and Volcanology (INGV). Damage data were merged with exposure data to consider negative evidence of damage. Based on the typological information available from the exposure data, distinct classes of buildings were defined accounting for construction age and number of stories. Fragility functions were derived by statistically processing datasets via a Maximum Likelihood Estimation (MLE) procedure. The obtained fragility curves reflect the regulatory context of national seismic design codes. Age of construction and height confirmed to be parameters influencing the seismic vulnerability of RC buildings.

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Cite This Study

Carbone et al. (2026) studied this question.

synapsesocial.com/papers/69994aab873532290d01f07ehttps://doi.org/10.1016/j.prostr.2025.12.150
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