9 research outputs found
Application of ground shaking scenarios to PSHA and risk assessment in near field
The study illustrates probabilistic ground shaking hazard analyses and risk assessment in the near field of a rupturing earthquake fault, where the datasets underlying most ground motion predictive equations (GMPEs) tend to provide insufficient coverage. In order to overcome this limitation, explicit modeling of source and wave propagation at the sites of interest can be used. 3D deterministic simulations (limited to frequencies < 2 Hz) are performed, using the spectral element code GEOELSE, and integrated with an appropriate high frequency contribution generated with a stochastic finite-fault model (EXSIM code). We show how the resulting broadband time histories of ground motion can be introduced in PSHA, as an alternative input to the GMPEs, and we compare the derived seismic hazard curves with the results of the traditional approach. The capabilities of the
CRISIS2008 code are exploited for this purpose. In seismic risk analysis, the simulated time histories and associated response spectra are treated as realizations of a random variable that represents ground motion and depends on the uncertain fault parameters, in order to evaluate probable damage of classes of buildings through Monte-Carlo approximation. An application to the seismically active area of Sulmona town, in Central Italy, is illustrated
A comparative study of different rapid visual survey methods used for seismic assessment of existing buildings
Comparative evaluation of MFP and RBF neural networks’ ability for instant estimation of r/c buildings’ seismic damage level
Site-specific uniform hazard spectrum in Eastern Turkey based on simulated ground motions including near-field directivity and detailed site effects
In this study, stochastic earthquake catalog of the Erzincan region in Turkey is generated based on synthetic ground motions. Monte Carlo simulation method is used to identify the spatial and temporal distribution of events. Ground motion time histories are generated using stochastic simulation methodology. Annual exceedance rate of each ground motion amplitude is calculated through statistical distribution of the complete set of ground motions. The results are compared with classical probabilistic seismic hazard analysis (PSHA). Classical PSHA generally produces larger spectral amplitudes than the proposed study due to wide range of aleatory variability. The effects of near-field forward directivity and detailed site response are also investigated on the results