Sara Sgobba

Dr. Sara Sgobba

Istituto Nazionale di Geofisica e Vulcanologia, Via A. Corti 12, 20133 Milano, Italy

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 September 2018 in Bulletin of Earthquake Engineering
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Journal Article
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Giovanni LanzanoGiovanni Lanzano
Giovanni Lanzano
Sara SgobbaSara Sgobba
Sara Sgobba
LLLucia Luzi
Lucia Luzi
RPRodolfo Puglia
Rodolfo Puglia
FPFrancesca Pacor
Francesca Pacor
DBDino Bindi
Dino Bindi

5 February 2019 in Bulletin of the Seismological Society of America
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Journal Article
Closed access
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Giovanni LanzanoGiovanni Lanzano
Giovanni Lanzano
LLLucia Luzi
Lucia Luzi
FPFrancesca Pacor
Francesca Pacor
CFChiara Felicetta
Chiara Felicetta
RPRodolfo Puglia
Rodolfo Puglia
MDMaria D'Amico
Maria D'Amico
This work aims to revise the Bindi et al. (2011) ground‐motion model for shallow crustal earthquakes in Italy (hereinafter, ITA10), calibrated in the magnitude range 4.0–6.9 using strong‐motion data recorded up to the 2009 L’Aquila sequence. The improvement of ITA10 is needed because of the large number of strong‐motion records made available in Italy after the occurrence of the most recent seismic sequences (2012 Emilia, Northern Italy; 2016–2017 Central Italy). The new data collection allows us to extend the magnitude range beyond 6.9 and to include vibration periods up to 10 s. Instead of the geometric mean of the horizontal components of ground motion, the median of orientation independent amplitudes (RotD50) is selected as a measure of the ground‐motion parameters, and the rupture distance is introduced as an alternative source‐to‐site metric to the Joyner–Boore distance (⁠RJB⁠). The site effects are accounted for by a linear dependence on the time‐averaged shear‐wave velocity in the upper 30 m, VS30⁠. A breakdown of the ground‐motion variability is performed into between‐event and site‐to‐site components to make the model suitable for the evaluation of nonergodic probabilistic seismic hazard. We also build a heteroscedastic model for aleatory variability as a function of moment magnitude and VS30⁠. The evaluation of the epistemic uncertainty in the median prediction is also provided to be introduced in the logic trees for the probabilistic seismic hazard assessment. We obtain changes in median predictions with respect to ITA10 at distances lower than 10 km and for strong events (⁠Mw>6.5⁠); moreover, the total standard deviations are significantly lower at intermediate and long periods, with an average reduction of about 20%.

1 August 2010 in Mechanical Systems and Signal Processing
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Journal Article
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Sara SgobbaSara Sgobba
Sara Sgobba
Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano

1 January 2010 in Probabilistic Engineering Mechanics
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Journal Article
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Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
RGRita Greco
Rita Greco
Sara SgobbaSara Sgobba
Sara Sgobba

1 June 2008 in Journal of Sound and Vibration
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Journal Article
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Giuseppe Carlo MaranoGiuseppe Carlo Marano
Giuseppe Carlo Marano
Sara SgobbaSara Sgobba
Sara Sgobba
RGRita Greco
Rita Greco
MMMauro Mezzina
Mauro Mezzina

1 November 2015 in Construction and Building Materials
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Journal Article
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Sara SgobbaSara Sgobba
Sara Sgobba
MBMassimo Borsa
Massimo Borsa
MMMarcello Molfetta
Marcello Molfetta
GMGiuseppe Carlo Marano
Giuseppe Carlo Marano