Empirical fragility functions and loss curves for Italian business facilities based on the 2012 Emilia-Romagna earthquake official database

• Published in: Bulletin of earthquake engineering 2020-03, Vol.18 (4), p.1693-1721
• Main Authors: Rossi, Leonardo, Stupazzini, Marco, Parisi, Davide, Holtschoppen, Britta, Ruggieri, Gabriella, Butenweg, Christoph
• Format: Article
• Language: English
• Subjects: Agricultural economics; Agricultural management; Agriculture; Buildings; Business; Casualties; Civil Engineering; Costs; Dimensions; Earth and Environmental Science; Earth Sciences; Earthquake damage; Earthquake engineering; Earthquakes; Economic impact; Economics; Environmental Engineering/Biotechnology; Europa; Fragility; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Hydrogeology; Information sources; Original Research; Reconstruction; Seismic activity; Seismic engineering; Structural damage; Structural Geology; Toolkits
• ISSN: 1570-761X; 1573-1456
• DOI: 10.1007/s10518-019-00759-1

The 2012 Emilia-Romagna earthquake, that mainly struck the homonymous Italian region provoking 28 casualties and damage to thousands of structures and infrastructures, is an exceptional source of information to question, investigate, and challenge the validity of seismic fragility functions and loss curves from an empirical standpoint. Among the most recent seismic events taking place in Europe, that of Emilia-Romagna is quite likely one of the best documented, not only in terms of experienced damages, but also for what concerns occurred losses and necessary reconstruction costs. In fact, in order to manage the compensations in a fair way both to citizens and business owners, soon after the seismic sequence, the regional administrative authority started (1) collecting damage and consequence-related data, (2) evaluating information sources and (3) taking care of the cross-checking of various reports. A specific database—so-called Sistema Informativo Gestione Europa (SFINGE)—was devoted to damaged business activities. As a result, 7 years after the seismic events, scientists can rely on a one-of-a-kind, vast and consistent database, containing information about (among other things): (1) buildings’ location and dimensions, (2) occurred structural damages, (3) experienced direct economic losses and (4) related reconstruction costs. The present work is focused on a specific data subset of SFINGE, whose elements are Long-Span-Beam buildings (mostly precast) deployed for business activities in industry, trade or agriculture. With the available set of data, empirical fragility functions, cost and loss ratio curves are elaborated, that may be included within existing Performance Based Earthquake Engineering assessment toolkits.