Nonstationary Stochastic Simulation of Strong Ground-Motion Time Histories : Application to the Japanese Database

Aurore Laurendeau (1) , Fabrice Cotton (2) , Luis Fabian Bonilla (3)

1 Risques - Risques
2 ISTerre - Institut des Sciences de la Terre
3 IFSTTAR/GERS/SV - Séismes et Vibrations

For earthquake-resistant design, engineering seismologists employ time-history analysis for nonlinear simulations. The nonstationary stochastic method previously developed by Pousse et al. (2006) has been updated. This method has the advantage of being both simple, fast and taking into account the basic concepts of seismology (Brune's source, realistic time envelope function, nonstationarity and ground-motion variability). Time-domain simulations are derived from the signal spectrogram and depend on few ground-motion parameters: Arias intensity, significant relative duration and central frequency. These indicators are obtained from empirical attenuation equations that relate them to the magnitude of the event, the source-receiver distance, and the site conditions. We improve the nonstationary stochastic method by using new functional forms (new surface rock dataset, analysis of both intra-event and inter-event residuals, consideration of the scaling relations and VS30), by assessing the central frequency with S-transform and by better considering the stress drop variability.

Mots clés: Nonstationary stochastic simulations; time-histories; Accelerometric Japanese dataset; GMPEs

Domaines: Sciences de la Terre; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Applications [stat.AP]

Aurore Laurendeau, Fabrice Cotton, Luis Fabian Bonilla. Nonstationary Stochastic Simulation of Strong Ground-Motion Time Histories : Application to the Japanese Database. 15th World Conference on Earthquake Engineering, Sep 2012, Lisbon, Portugal. Paper ID 3024. ⟨hal-00765568⟩