Empirical seismic fragility for the precast RC industrial buildings damaged by the 2012 Emilia (Italy) earthquakes

Buratti, Nicola; Minghini, Fabio; Ongaretto, Elena; Savoia, Marco; Tullini, Nerio

doi:10.1002/eqe.2906

Cited by 72 publications

(39 citation statements)

References 38 publications

(115 reference statements)

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“…In literature, relevant works on fragility curves obtained from empirical data exist-(e.g. D'Ayala et al 1997;Sabetta et al 1998;Yamaguchi and Yamazaki 2000;Rota et al 2008;Rossetto et al 2013;Casotto et al 2015;Lin et al 2016;Buratti et al 2017;Hofer et al 2018); in Buratti et al (2017) in particular, the focus is on the same seismic events here considered-Emilia-Romagna 2012-and on a comparable building stock; in such relevant work, the number of structural units is 1890, of which 967 suffered no damage during the seismic sequence. The remaining ones-923-were classified according to the hereby reported 5 damage patterns.…”

Section: Fragility Empirical Evidencementioning

confidence: 99%

“…A preliminary economic analysis of the reconstruction of the affected businesses was described in ARR (2018) and R E-R (2018), while an introduction to SFINGE and first data analysis results were reported in Rossi et al (2019a, b). A first contribution regarding the empirical seismic fragility curves for precast RC structures from 2012 Emilia evidences was given in Buratti et al (2017); in this case, the information is mostly coming from field surveys. On the contrary, in the following, fragility and loss curves are obtained from SFINGE's data: this means that the here adopted information went through the entire Emilia-Romagna's internal procedure for data crosschecking and validation (see Rossi et al 2019a).…”

Section: State Of the Artmentioning

confidence: 99%

“…Now, using Sum of Squares Errors (SSE) approach (Draper and Smith 1998), we show the fitting of the empirical results concerning PGA and PGV, with normal and logistic CDF functions respectively (ITL NIST 2012)-indeed, other ways are possible, e.g. (Buratti et al 2017;Porter 2019). Here, the SSE approach consists of finding-for every damage pattern-the pair of parameters for which the induced error is minimum-see Formula 7. where • n i is the number of items in the ith ground motion bin, whose damage pattern is equal or greater than the considered one; • b i is the total number of items in the ith ground motion bin;…”

Section: Empirical Fragility Functionsmentioning

confidence: 99%

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

Rossi

Stupazzini²,

Parisi

et al. 2019

Bull Earthquake Eng

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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 crosschecking 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.

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Section: Fragility Empirical Evidencementioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: Empirical Fragility Functionsmentioning

confidence: 99%

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

Rossi

Stupazzini²,

Parisi

et al. 2019

Bull Earthquake Eng

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“…As well known, the behavior of this construction category is very different from typical RC moment-resisting frames. In particular, the precast RC building stock designed in Emilia-Romagna before 2005 (update of the Italian building code) presents a high seismic vulnerability [17], mainly because the support of beams on column tops and the support of slab on main girders was typically friction-based, hence without mechanical connectors preventing large relative displacements or loss of support during seismic events. In order to remove such constructions category from the dataset, the one-story buildings with interstorey height ≥ 5.0 m and floor area ≥ 130 m 2 are discarded.…”

Section: Rc Frame Building Samplementioning

confidence: 99%

“…In order to remove such constructions category from the dataset, the one-story buildings with interstorey height ≥ 5.0 m and floor area ≥ 130 m 2 are discarded. This choice is due to the fact that most of the precast RC buildings in Emilia have a single-storey structure, typically made of a series of simple portal frames [17], and assuming that buildings with floor area lower than 130 m 2 are too small to be built with precast elements. Within this subset, buildings belonging to commercial and transportation occupancy classes (or buildings for which the occupancy class is not specified) are moreover discarded.…”

Section: Rc Frame Building Samplementioning

confidence: 99%

Seismic Fragility Curves for Rc Buildings at Territorial Scale

Romano¹,

Zucconi²,

Ferracuti³

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The seismic events recently occurred in a different part of the world remind us once again the importance of reducing the risk of the national building stock. In order to properly invest the limited funds available for the retrofit of most exposed constructions, it is fundamental an estimate of the seismic vulnerability of the different building typologies. Such vulnerability is nowadays mainly expressed in terms of fragility curves, calibrated through post-seismic observed data or simulated data obtained by building mechanical models. In this paper, empirical fragility curves are presented for existing reinforced concrete buildings based on the post-earthquake observational data collected after the 2012 Emilia earthquake. This structural typology presents large variability in terms of seismic performance, depending on the seismic design level and other parameters such as the number of stories and the building typological classifications. Various regression models and statistical procedures have been proposed over the years to obtain fragility curves, hence more than one stochastic model is adopted, in order to point out how the fragility curves parameters change by varying the assumed probabilistic distribution.

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Post‐earthquake estimates of different ground motion intensity measures for the 2012 Emilia earthquake

Buratti

Simoni

Mazzotti

2022

Earthq Engng Struct Dyn

Self Cite

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Estimates of the earthquake ground motion intensity over a geographical area have multiple uses, that is, emergency management, civil protection and seismic fragility assessment. In particular, with reference to fragility assessment, it is of interest to have estimates of the values of different ground-motion intensity measures in order to correlate them with the observed damage. To this purpose, the present paper uses a procedure recently proposed in the literature to estimate the ground-motion intensity for the 2012 Emilia mainshocks, considering different ground motion intensity measures and directionality effects. Ground motion prediction equations based on different site effect models, and spatial correlation models are calibrated for the Emilia earthquakes. The paper discusses the accuracy of the shakemaps obtained using the different soil effect models considered and presents the obtained shakemaps as supplementary material. The procedure presented in the paper is aimed at providing ground motion intensity values for seismic fragility assessment and is not intended as a tool to estimate shakemaps for rapid emergency assessment.

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Empirical seismic fragility for the precast RC industrial buildings damaged by the 2012 Emilia (Italy) earthquakes

Cited by 72 publications

References 38 publications

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

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

Seismic Fragility Curves for Rc Buildings at Territorial Scale

Post‐earthquake estimates of different ground motion intensity measures for the 2012 Emilia earthquake

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