strong motion simulations with empirical Green's functions: methodology and application to the 2009 L'Aquila earthquake

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.