Seismic hazard assesment: Parametric studies on grid infrastructures

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Seismic hazard assessment can be performed following a neo-deterministic approach (NDSHA),which allows to give a realistic description of the seismic ground 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 the source characteristics, the path and local geological and geotechnical conditions. Synthetic signals can be produced in a short time and at a very low cost/benefit ratio. They 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. Massive parametric tests, to explore the influence not only of deterministic source parameters and structural models but also of random properties of the same source model, enable realistic estimate of seismic hazard and their uncertainty. This is particular true in those areas for which scarce (or no) historical or instrumental information is available. Here we describe the implementation of the seismological codes and the results of some parametric tests performed using the EU-India Grid infrastructure.

Cite

CITATION STYLE

APA

Magrin, A., La Mura, C., Vaccari, F., Panza, G. F., Gusev, A. A., Gregori, I., & Cozzini, S. (2014). Seismic hazard assesment: Parametric studies on grid infrastructures. In Springer Proceedings in Physics (Vol. 145, pp. 367–374). Springer Science and Business Media, LLC. https://doi.org/10.1007/978-3-319-00297-2_36

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free