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An evolutionary stochastic ground-motion model defined by a seismological scenario and local site conditions
Abstract This paper is concerned with modeling earthquake-induced ground accelerations and the simulation of the dynamic response of linear structures through the principles of stochastic dynamics. A fully evolutionary approach, with nonstationarity both in amplitude and in frequency content, is proposed in order to define the seismic action, based on seismological information in the form of a small number of input parameters commonly available in deterministic or probabilistic seismic design situations. The signal is obtained by filtering a Gaussian white-noise. The finite duration and time-varying amplitude properties are obtained by using a suitable envelope function. By utilizing a subset of the records from the PEER-NGA strong-motion database, and time-series analysis tools extended to nonstationary processes, the key transfer-function properties, in terms of circular frequency, damping ratio and spectral intensity factor, are identified. A regression analysis is conducted for practical and flexible application of this model, in order to empirically relate the identified time-varying parameters of the filter to the characteristics defining earthquake scenarios such as magnitude, rupture distance and soil type. A validation study and a parametric investigation using elastic response spectra is also included. Results show that the final seismic model can reproduce, with satisfactory accuracy, the characteristics of acceleration records in a region, over a broad range of response periods.
Highlights ► Simulation of earthquake ground motions at a given site. ► Stochastic approach for generating acceleration time-history. ► Probabilistic response spectra. ► NGA database. ► Seismological scenario.
An evolutionary stochastic ground-motion model defined by a seismological scenario and local site conditions
Abstract This paper is concerned with modeling earthquake-induced ground accelerations and the simulation of the dynamic response of linear structures through the principles of stochastic dynamics. A fully evolutionary approach, with nonstationarity both in amplitude and in frequency content, is proposed in order to define the seismic action, based on seismological information in the form of a small number of input parameters commonly available in deterministic or probabilistic seismic design situations. The signal is obtained by filtering a Gaussian white-noise. The finite duration and time-varying amplitude properties are obtained by using a suitable envelope function. By utilizing a subset of the records from the PEER-NGA strong-motion database, and time-series analysis tools extended to nonstationary processes, the key transfer-function properties, in terms of circular frequency, damping ratio and spectral intensity factor, are identified. A regression analysis is conducted for practical and flexible application of this model, in order to empirically relate the identified time-varying parameters of the filter to the characteristics defining earthquake scenarios such as magnitude, rupture distance and soil type. A validation study and a parametric investigation using elastic response spectra is also included. Results show that the final seismic model can reproduce, with satisfactory accuracy, the characteristics of acceleration records in a region, over a broad range of response periods.
Highlights ► Simulation of earthquake ground motions at a given site. ► Stochastic approach for generating acceleration time-history. ► Probabilistic response spectra. ► NGA database. ► Seismological scenario.
An evolutionary stochastic ground-motion model defined by a seismological scenario and local site conditions
Sgobba, S. (Autor:in) / Stafford, P.J. (Autor:in) / Marano, G.C. (Autor:in) / Guaragnella, C. (Autor:in)
Soil Dynamics and Earthquake Engineering ; 31 ; 1465-1479
16.05.2011
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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