Abstract

Seismic hazard assessment can be performed following a neo-deterministic approach (NDSHA), which allows to give a realistic description of the seismic g round motion due to an earthquake of given distance and magnitude. The approach is based on modelling techniques that have been developed from a detailed knowledge of both the seismic source process and the propagation of seismic waves. This permits us to define a set of earthquake scenarios and to simulate the associated synthetic signals without having to wait for a strong event to occur. NDSHA can be applied at the regional scale, computing seismograms at the nodes of a grid with the desired spacing, or at the local scale, taking into account t he source characteristics, the path and local geological and geotechnical conditions. Synthetic s ignals can be used as seismic input in subsequent engineering analyses aimed at the computation of the full non-linear seismic response of the structure or simply the earthquake damaging potential. The same approach can be applied to tsunami hazard assesment: for a specific coasta l area one has to characterize the seismic sources and select the earthquake scenarios that can drive the hazard; afterward the associated synthetic tsunamigrams are computed using the modal method. Massive parametric tests, to explore the influence not only of deterministic sou rce parameters and structural models but also of random properties of the same source model, enable realistic estimate of seismic hazard and their uncertainty. The use of the EU-India Grid infrastructure allows to conduct massive parametric tests for evaluating the uncertainties in the computed hazard maps. In the framework of cooperation project between three Italian partners (DMG, University of Trieste; ICTP SAND Group; CNR/IOM uos Democritos) and two Indian partners (ISR, Gujarat; CSIR C-MMACS, Bangalore) a system will be set up for the scenario-based characterization of the seismic and tsunami hazard, integrated with the e-infrastructures of the project EU-India Grid.

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