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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 77
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON CIVIL AND STRUCTURAL ENGINEERING COMPUTING Edited by: B.H.V. Topping
Paper 109
Probabilistic Model for Seismogenetic Areas in Seismic Risk Analyses A. Baratta and I. Corbi
Department of "Scienza delle Costruzioni", University of Naples "Federico II", Italy A. Baratta, I. Corbi, "Probabilistic Model for Seismogenetic Areas in Seismic Risk Analyses", in B.H.V. Topping, (Editor), "Proceedings of the Ninth International Conference on Civil and Structural Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 109, 2003. doi:10.4203/ccp.77.109
Keywords: seismic hazard, probability density function, statistical data elaboration, historical earthquakes.
Summary
One can look at the different parameters which characterize an earthquake from a
macroscopic point of view as independent random variables. So the construction of
a stochastic field which expresses the seismic waves' propagation on the territory
can been developed only by the elaboration of the fundamental seismic
macroparameters, as the geographical co-ordinates of the epicenter and of the
recording stations, the magnitude value, the epicentral intensity and the intensity at
the sites. Assuming that the seismic intensity at any site can be expressed by means
of an exponential function of the epicentral distance, with the exponential coefficient
representing the random character of the function, the probabilistic parameters
of the transmission law from the historic epicenter to the site can be calibrated by
means of the interpolation of the seismic waves' propagation along the different
directions between the historical epicenters and the sites. The total interpolation of
the stochastic fields solved for different historical earthquakes gives the intensity
probability function for every site on the territory.
Analogously by elaborating statistically all recorded data of historical earthquakes occurred in an area the hazard function at the site can be evaluated too. So, some of the fundamental seismic parameters as the peak intensity, the epicentral and site's intensity, the time duration of the earthquake can be expressed by means of simple functions which can give the information about, for example, the epicentral location, the time duration, the magnitude value, the intensity distribution on the territory, etc., for an expected earthquake if one knows the macroseismic parameters of an occurred earthquake in an area. In the final part of the paper a numerical application based on a series of ground earthquakes occurred in the Central-Italian area have been made and the probability function of the localization of the seismic epicentre for an earthquake which produces different values of the intensity at the site (for example Naples, Italy) has been solved. References
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