Statistical Treatment of Empirical Damage Data Collected After the Main Italian Seismic Events (1980-2009)

Abstract eng:
Since the number of victims and the amount of economic losses are closely related to the seismic performance of structures, in the last decades significant relevance has been addressed to the evaluation of the seismic vulnerability of existing buildings. In this context, empirical damage data, collected during post-earthquake field surveys, constitute a very precious patrimony, being a valuable and unique source of information that should be fully exploited. With proper treatment and accurate processing, they can indeed provide an excellent picture of the real vulnerability of existing buildings and, in this sense, they may also represent a benchmark for calibrating numerical vulnerability models. This paper deals with the derivation of damage probability matrices for structural typologies representative of the Italian building stock, starting from empirical damage data collected after the Italian seismic events of the period 1980-2009. After processing and homogenization, empirical data were subdivided into building typologies, representative of the Italian building stock, and damage levels of a previously defined damage scale. A measure of the ground-motion severity was associated to each inspected building. For each identified building typology, damage probability matrices were subsequently derived for different levels of ground motion severity.

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