Del Gaudio, Sergio (2014) strong motion simulations with empirical Green's functions: methodology and application to the 2009 L'Aquila earthquake. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: strong motion simulations with empirical Green's functions: methodology and application to the 2009 L'Aquila earthquake
Creators:
CreatorsEmail
Del Gaudio, Sergiosergio.delgaudio@unina.it
Date: 31 March 2014
Number of Pages: 112
Institution: Università degli Studi di Napoli Federico II
Department: Fisica
Scuola di dottorato: Scienze fisiche
Dottorato: Rischio sismico
Ciclo di dottorato: 26
Coordinatore del Corso di dottorato:
nomeemail
Zollo, Aldoaldo.zollo@unina.it
Tutor:
nomeemail
Festa, GaetanoUNSPECIFIED
Date: 31 March 2014
Number of Pages: 112
Uncontrolled Keywords: seismology;ground motion simulations;L'Aquila earthquake
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/06 - Fisica per il sistema terra e il mezzo circumterrestre
Aree tematiche (7° programma Quadro): AMBIENTE (INCLUSO CAMBIAMENTO CLIMATICO) > Proteggere i cittadini dai rischi ambientali
Date Deposited: 15 Apr 2014 16:35
Last Modified: 23 Jan 2015 11:54
URI: http://www.fedoa.unina.it/id/eprint/10026

Abstract

In the last ten years, thanks to the great advances in computer science and to the huge improvements of strong motion networks, our knowledge of the Earth interior and its related phenomena greatly increased. This improvement directly comes from the amount of collected data, such as recorded signals during earthquakes, that are now shared by worldwide databanks. We observe an earthquake rupture from the elastic waves produced by a sudden release of energy in the Earth's crust: the seismic waves. These waves bring informations on both their source and all the features of the medium that they have passed through. The aim of this thesis was to build up and test a robust methodology to produce synthetic records which are as similar as possible to the real ones. My final goal is to perform ground motion predictions with this technique to obtain scenario simulations for probable future earthquakes in active seismic regions.

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