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

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

doi:10.1007/s10518-021-01077-1

Cited by 17 publications

(9 citation statements)

References 53 publications

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“…where Φ indicates the standard normal cumulative distribution function, µ log I a is the mean logarithmic Arias intensity predicted by the ground motion prediction equation (GMPE) at hand, and σ log I a is the associated standard deviation. In this application, the GMPE of Sabetta et al [52] derived for Italy was used. This GMPE uses a linear site-response term to account for ground motion amplification as a function of V S,30 (time-averaged shear wave velocity above 30 m depth).…”

Section: Discussionmentioning

confidence: 99%

Earthquake-Induced Landslides in Italy: Evaluation of the Triggering Potential Based on Seismic Hazard

Azhideh,

Barani,

Ferretti

et al. 2024

Applied Sciences

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In this study, we defined screening maps for Italy that classify sites based on their potential for triggering landslides. To this end, we analyzed seismic hazard maps and hazard disaggregation results on a national scale considering four spectral periods (0.01 s, 0.2 s, 0.5 s, and 1.0 s) and three return periods (475, 975, and 2475 years). First, joint distributions of magnitude (M) and distance (R) from hazard disaggregation were analyzed by means of an innovative approach based on image processing techniques to find all modal scenarios contributing to the hazard. In order to obtain the M-R scenarios controlling the triggering of earthquake-induced landslides at any computation node, mean and modal M-R pairs were compared to empirical curves defining the M-R bounds associated with landslide triggering. Three types of landslides were considered (i.e., disrupted slides and falls, coherent slides, and lateral spreads and flows). As a result, screening maps for all of Italy showing the potential for triggering landslides based on the level of seismic hazard were obtained. The maps and the related data are freely accessible.

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Section: Discussionmentioning

confidence: 99%

Earthquake-Induced Landslides in Italy: Evaluation of the Triggering Potential Based on Seismic Hazard

Azhideh,

Barani,

Ferretti

et al. 2024

Applied Sciences

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“…Consequently, researchers have shifted their focus to developing amplitude non-stationary models, placing greater emphasis on the influence of non-stationary characteristics of seismic intensity on the random seismic response of structures [16]. Recent studies, however, have increasingly shown that both amplitude and frequency non-stationarity substantially impact the mechanical behavior of structures, particularly as they enter the nonlinear stage [17,18]. Therefore, this paper addresses the most general case that both the amplitude and frequency of the ground motion process are non-stationary.…”

Section: Stochastic Ground Motion Modelmentioning

confidence: 99%

Stochastic Response of Composite Post Insulators under Seismic Excitation

Wang,

Cheng,

et al. 2024

Buildings

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Composite post insulators are crucial facilities in substations and are prone to significant damage during seismic disasters. However, existing research lacks seismic motion models suitable for power facilities and rarely involves stochastic models. Furthermore, considering the non-stationary characteristics of seismic motion, predicting the response of nonlinear systems under non-stationary excitation becomes exceedingly challenging. In view of this, the stochastic response of composite post insulators under the non-stationary stochastic seismic excitation appropriate for power facilities has been studied. First, a stochastic ground motion model, conforming to the Code for Seismic Design of Electrical Insulators in China, is established, incorporating amplitude and frequency non-stationarity. Next, the nonlinear dynamic system, accounting for multi-section composite post insulators and the nonlinearity of flange connections, is established under stochastic ground motion conditions. Based on this stochastic nonlinear dynamic model, the dynamic behavior of the system was analyzed using the stochastic dynamics method (the wavelet-Galerkin method), and the influence of nonlinear stiffness on the system response was discussed. The stochastic seismic response analysis method proposed in this paper can serve as a valuable reference for the seismic design of pillar-type electrical equipment.

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“…Updates of this approach (see e.g. Pousse et al, 2006;Sabetta et al 2021) will be implemented in the next releases of the BB-SPEEDset. More specifically, 20 stochastic realizations are obtained, according to the simulated scenario (Mw) and receiver (distance, site conditions) and, out of these, a specific realization is selected based on the criteria illustrated in the sequel.…”

Section: Broadband Generationmentioning

confidence: 99%

BB-SPEEDset: A Validated Dataset of Broadband Near-Source Earthquake Ground Motions from 3D Physics-Based Numerical Simulations

Paolucci

Smerzini

Vanini

2021

Bulletin of the Seismological Society of America

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This article introduces a strong-motion dataset of near-source broadband earthquake ground motions from 3D physics-based numerical simulations—named BB-SPEEDset—obtained by the code SPEED (SPectral Elements in Elastodynamics with Discontinuous Galerkin)—developed at Politecnico di Milano, Italy. Taking advantage of the earthquake ground-motion scenarios produced so far by SPEED, in most cases validated against earthquake recordings, the main objective of this work is to construct and validate a dataset of simulated broadband waveforms to be used as a support for characterization and modeling of near-source earthquake ground motions. To pursue this objective, the following steps were necessary, namely: (1) the implementation of an effective workflow suitable to process in an homogeneous format various SPEED simulations; (2) the generation of broadband time histories using a technique based on artificial neural networks, trained on strong-motion records; (3) the creation of a flat file collecting, for each simulated scenario, the most relevant metadata (fault rupture scenario, site response proxies, source-to-site distances) as well as a comprehensive set of ground-motion intensity measures of the processed broadband waveforms (peak ground acceleration, velocity and displacement, spectral ordinates, duration, pulse period, etc.). Finally, a comprehensive set of consistency checks is made to verify the absence of any systematic bias in the trend of the BB-SPEEDset results with respect to the NEar-Source Strong-motion (NESS) version 2.0 near-source recorded ground-motion dataset. Indeed, the main features of near-source ground motion in BB-SPEEDset, ranging from the statistical distributions of peak and integral measures both at short and long periods, the ground-motion attenuation with distance, to the features of impulsive ground motions and directionality effects, are in substantial agreement with those from NESS.

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

Cited by 17 publications

References 53 publications

Earthquake-Induced Landslides in Italy: Evaluation of the Triggering Potential Based on Seismic Hazard

Earthquake-Induced Landslides in Italy: Evaluation of the Triggering Potential Based on Seismic Hazard

Stochastic Response of Composite Post Insulators under Seismic Excitation

BB-SPEEDset: A Validated Dataset of Broadband Near-Source Earthquake Ground Motions from 3D Physics-Based Numerical Simulations

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