Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

Fabio Sabetta, Antonio Pugliese, Gabriele Fiorentino*, Giovanni Lanzano, Lucia Luzi

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

This work presents an up-to-date model for the simulation of non-stationary ground motions, including several novelties compared to the original study of Sabetta and Pugliese (Bull Seism Soc Am 86:337–352, 1996). The selection of the input motion in the framework of earthquake engineering has become progressively more important with the growing use of nonlinear dynamic analyses. Regardless of the increasing availability of large strong motion databases, ground motion records are not always available for a given earthquake scenario and site condition, requiring the adoption of simulated time series. Among the different techniques for the generation of ground motion records, we focused on the methods based on stochastic simulations, considering the time- frequency decomposition of the seismic ground motion. We updated the non-stationary stochastic model initially developed in Sabetta and Pugliese (Bull Seism Soc Am 86:337–352, 1996) and later modified by Pousse et al. (Bull Seism Soc Am 96:2103–2117, 2006) and Laurendeau et al. (Nonstationary stochastic simulation of strong ground-motion time histories: application to the Japanese database. 15 WCEE Lisbon, 2012). The model is based on the S-transform that implicitly considers both the amplitude and frequency modulation. The four model parameters required for the simulation are: Arias intensity, significant duration, central frequency, and frequency bandwidth. They were obtained from an empirical ground motion model calibrated using the accelerometric records included in the updated Italian strong-motion database ITACA. The simulated accelerograms show a good match with the ground motion model prediction of several amplitude and frequency measures, such as Arias intensity, peak acceleration, peak velocity, Fourier spectra, and response spectra.
Original languageEnglish
Pages (from-to)3287-3315
Number of pages29
JournalBulletin of Earthquake Engineering
Volume19
Issue number9
DOIs
Publication statusPublished - 7 Apr 2021

Bibliographical note

Funding Information:
The authors would like to thank Francesca Pacor for the fruitful discussion in the preparation of this work, and the reviewers for the useful comments which significantly helped to improve and clarify the manuscript. Gabriele Fiorentino has received funding from the European Union’s Horizon 2020 research program under the Marie Curie grant agreement No. 892454 ( https://cordis.europa.eu/project/id/892454/it ). Giovanni Lanzano and Lucia Luzi are grateful to the European Research Infrastructure Consortium EPOS (European Research Infrastructure On Solid Earth) for the support in the development of the accelerometric databases ITACA and ESM.

Funding Information:
European Union’s Horizon 2020 research program under the Marie Curie grant agreement No. 892454 ( https://cordis.europa.eu/project/id/892454/it ).

Funding Information:
The authors would like to thank Francesca Pacor for the fruitful discussion in the preparation of this work, and the reviewers for the useful comments which significantly helped to improve and clarify the manuscript. Gabriele Fiorentino has received funding from the European Union?s Horizon 2020 research program under the Marie Curie grant agreement No. 892454 (https://cordis.europa.eu/project/id/892454/it ). Giovanni Lanzano and Lucia Luzi are grateful to the European Research Infrastructure Consortium EPOS (European Research Infrastructure On Solid Earth) for the support in the development of the accelerometric databases ITACA and ESM.

Publisher Copyright:
© 2021, The Author(s).

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