Seismic risk in Friuli-Venezia giulia: an approach

Yang, Woo Sun; Slejko, D.; Viezzoli, D.; Gasparo, Fulvio

doi:10.1016/s0267-7261(89)80016-8

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…In this study, the Global Earthquake Model (GEM) project (Rossetto et al 2014) definition of vulnerability is adopted according to which seismic vulnerability represents the expected losses (i.e., economic loss, casualties, injuries or downtime) suffered by the building inventory for a given event. Seismic vulnerability can be assessed either directly by the use of post-earthquake loss data (Maqsood et al 2016;Thráinsson and Sigbjörnsson 1994;Wesson et al 2004) or indirectly by coupling the fragility of the building inventory with damage-to-loss functions (Eleftheriadou and Karabinis 2011;Jara et al 1992;Sun Yang et al 1989). In this study, the seismic vulnerability of the building inventory in South Iceland is directly assessed from economic loss data collected in the aftermath of the sequence of the June 2000 earthquakes.…”

Section: Introductionmentioning

confidence: 99%

Empirical seismic vulnerability assessment of Icelandic buildings affected by the 2000 sequence of earthquakes

Ιωάννου

Bessason

Kosmidis

et al. 2018

Bull Earthquake Eng

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In June 2000, two Mw6.5 earthquakes occurred within a 4-day interval in the largest agricultural region of Iceland causing substantial damage and no loss of life. The distance between the earthquake epicentres and the fault rupture was approximately 15 km. Nearly 5000 low-rise residential buildings were affected, some of which were located between the faults and exposed to strong ground motion from both events. The post-earthquakes damage and repair costs for every residential building in the epicentral region were assessed for insurance purposes. The database is detailed and complete for the whole region and represents one of the best quality post-earthquake vulnerability datasets used for seismic loss estimation. Nonetheless, the construction of vulnerability curves from this database is hampered by the fact that the loss values represent the cumulative damage from two sequential earthquakes in some areas, and single earthquakes in others. A novel methodology based on beta regression is proposed here in order to define the geographical limits on areas where buildings sustained cumulative damage and predict the seismic losses for future sequence of events in each area. The results show that the average building loss in areas affected by a single event is below 10% of the building replacement value, whilst this increases to an average of 25% in areas affected by the two earthquakes. The proposed methodology can be used to empirically assess the vulnerability in other areas which experienced sequence of events such as Emilia-Romagna (Italy) in 2012.

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Section: Introductionmentioning

confidence: 99%

Empirical seismic vulnerability assessment of Icelandic buildings affected by the 2000 sequence of earthquakes

Ιωάννου

Bessason

Kosmidis

et al. 2018

Bull Earthquake Eng

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“…Nonetheless, most of the scientific works focusing on seismic loss estimation do not account for the contribution of infills (despite their widespread use in typical residential RC buildings) and services (like plumbing or electrical system), the latter generally enclosed within infill panels (or strictly interacting with them) for this building typology. In fact, the main approaches for loss estimation developed in Italy since the end of the 80s (Guagenti et al, 1988;Yang et al, 1989;Colonna et al, 1994;Bramerini et al, 1995;Di Pasquale and Orsini, 1998;Di Pasquale et al, 2005) make use of the empirical Damage Probability Matrix (DPMs), discarding the contribution of infills on damage estimation of RC buildings, to account for expected annual loss through the use of suitable damage factor (DF) coefficients. Only recently, Dolce et al (2019) develop seismic risk maps for Italy, taking advantage of the use of fragility curves for RC buildings (Rosti et al, 2020) and also explicitly accounting for infill contribution in damage evaluation.…”

Section: Introductionmentioning

confidence: 99%

Seismic Loss Estimation in Pre-1970 Residential RC Buildings: The Role of Infills and Services in Low–Mid-Rise Case Studies

Gaudio

Risi

Scala

et al. 2020

Front. Built Environ.

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The lessons learned after recent earthquakes have highlighted the key role played by infills and services in damage and loss of Reinforced Concrete (RC) buildings. Their influence in seismic performance and loss estimation of selected RC building case studies is thoroughly analyzed here. The case study selection aims to be representative of existing buildings built in Italy before 1970, and covers a different number of stories and design typologies. The seismic responses of the case-study buildings are numerically analyzed by means of non-linear static pushover analysis (PO) considering a lumped plasticity approach with a quadri-linear flexural response for beam/column elements (properly calibrated for RC elements reinforced with plain bars) and a tri-linear compressive-only axial response with diagonal concentric struts for infill panels (empirically derived from experimental data on hollow clay masonry walls). Economic loss estimation is carried out via a component-based methodology that relies on the main repairing activities and resultant costs required for the refurbishment of infills and services for different damage levels. Accordingly, a damage analysis is performed herein, given the intensity measure, based on a comparison between Interstory drift demand from PO analysis and drift-based fragility functions specific for masonry infills. Loss curves, relating the total building repair cost to peak ground acceleration (PGA), are presented and compared for the analyzed case study buildings to show their trends and quantify the incidence of infills and services with respect to the reconstruction cost. A comparison between these outcomes and those recently found in the literature emphasizes the robustness of the considered approach and the reliability of the hypotheses about damage and loss assessment.

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Seismic risk assessments and GIS technology: applications to infrastructures in the Friuli–Venezia Giulia region (NE Italy)

Codermatz

Nicolich

Slejko

2003

Earthq Engng Struct Dyn

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SUMMARYThis paper illustrates the seismic risk preliminary estimates of two di erent groups of structures located on the territory of the Friuli-Venezia Giulia region (NE Italy): the ÿrst group includes some special industrial plants, and the second group includes bridges and tunnels belonging to the regional highway network. The part of the study on special industrial plants tries to evaluate the degree of expected damage, taking into account their structural typology and ground shaking expressed in terms of macroseismic intensity. The second part of the study is an application of the HAZUS methodology to the tunnels and bridges of a highway network: the combination of expected ground shaking and the construction characteristics lead to very di erent risk levels, especially when considering the bridges. The resulting damage levels to bridges and tunnels are still only indicative because of the fragility curves used in the evaluations: they were developed for existing bridge and tunnel structural typologies in the U.S.A. Moreover, both examples show the power of GIS technology in storing, elaborating, and mapping spatial data.

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Seismic risk in Friuli-Venezia giulia: an approach

Cited by 10 publications

References 6 publications

Empirical seismic vulnerability assessment of Icelandic buildings affected by the 2000 sequence of earthquakes

Empirical seismic vulnerability assessment of Icelandic buildings affected by the 2000 sequence of earthquakes

Seismic Loss Estimation in Pre-1970 Residential RC Buildings: The Role of Infills and Services in Low–Mid-Rise Case Studies

Seismic risk assessments and GIS technology: applications to infrastructures in the Friuli–Venezia Giulia region (NE Italy)

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