000019739 001__ 19739
000019739 005__ 20170118182334.0
000019739 04107 $$aeng
000019739 046__ $$k2017-01-09
000019739 100__ $$aPasten, Cesar
000019739 24500 $$aDevelopment of a Record-Based Stochastic Ground Motion Model for Chile

000019739 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019739 260__ $$b
000019739 506__ $$arestricted
000019739 520__ $$2eng$$aStochastic ground motion models can facilitate a versatile description of earthquake acceleration time histories by modulating a white-noise sequence through functions that address spectral and temporal properties of the excitation. This is established by (i) selecting appropriate time/frequency modulation functions and (ii) relating the parameters of these functions to seismological (fault type, moment magnitude and rupture distance) and site (shear wave velocity) characteristics through predictive relationships. Various approaches have been proposed to accomplish these tasks. Sourcebased models (also known as physics-based) rely on physical modeling of the rupture and wave propagation mechanisms, whereas record-based models (also known as site-based) are developed by fitting a preselected “waveform” to a suite of recorded regional ground motions. In recent years, record-based models have gained increasing popularity within the structural engineering community, due to their versatility in selecting their waveforms to capture all important features of ground motion (such as spectral non-stationarities, deemed important for inelastic structures). This paper investigates the development of a record-based stochastic ground motion model for Chile by utilizing a suite of ground motions recorded by the RENADIC (Red de cobertuta nacional de acelerografos) network and the Seismological Center of the University of Chile. A stochastic model that addresses both temporal and spectral non-stationarities, corresponding to a series of cascading single-degree-of-freedom (SDOF) oscillators with time-varying frequency and damping, is adopted as the basis for this development. The stochastic model is then modified appropriately through information extracted from the available ground motion suite. This facilitates a complete parameterization of the time and frequency functions defining the stochastic ground motion model. An identification framework is then discussed that provides the optimal fit of the parameterized model to a specific ground motion, and a validation of the resultant model is proposed in terms of the corresponding response spectrum. The results of this identification are then exploited to develop, though regression analyses, predictive relationships that relate the model parameters to seismicity characteristics. This facilitates the generation of synthetic motions for specific seismic scenarios. The corresponding model and regression relationships are finally validated by comparison to regional ground motion prediction equations.

000019739 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019739 653__ $$aground motion; record-based stochastic model; regression analysis; subduction zone; Chile

000019739 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019739 720__ $$aPasten, Cesar$$iMavroeidis, George$$iSilva, Rodrigo$$iTaflanidis, Alexandros
000019739 8560_ $$ffischerc@itam.cas.cz
000019739 8564_ $$s484346$$uhttps://invenio.itam.cas.cz/record/19739/files/4290.pdf$$yOriginal version of the author's contribution as presented on USB, paper 4290.
000019739 962__ $$r16048
000019739 980__ $$aPAPER