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

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          Abstract

          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.

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          Most cited references3

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          Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 sand 10.0 s

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            Simulation of Ground Motion Using the Stochastic Method

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              Empirical Equations for the Prediction of the Significant, Bracketed, and Uniform Duration of Earthquake Ground Motion

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                Author and article information

                Journal
                17 December 2012
                Article
                1212.3938
                b520eef9-4b8d-49b0-8f91-13d44f4f17b7

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                10 pages; 15th World Conference on Earthquake Engineering, Lisbon : Portugal (2012)
                stat.AP physics.geo-ph
                ccsd

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