Development of strong ground motion database for the strong motion data of the Seismological labaratory of the University of Patras

• Κύριος συγγραφέας: Διονυσάτου, Κωνσταντίνα
• Άλλοι συγγραφείς: Σώκος, Ευθύμιος
• Μορφή: Thesis
• Γλώσσα: English
• Έκδοση: 2018
• Θέματα: Ground motion; Seismology; Ground acceleration; S waves recording; Εδαφική κίνηση; Σεισμολογία; Εδαφική επιτάχυνση; Καταγραφή S κυμάτων; 551.220 285

The assessment of ground motion damage potential, due to an earthquake, is of enormous importance. Efficient design of structures is the key point for risk mitigation and can be achieved in accordance with it. Strong motion data should always include a description of a) the local site conditions (this is usually done through the Vs30 parameter), b) source parameters e.g. magnitude (preferably Mw), focal mechanism c) distance measures e.g. epicentral, hypocentral distance, distance from fault trace etc. In the present dissertation, we have compiled a strong motion database, using the data recorded by the strong motion stations of the University of Patras, Laboratory of Seismology, Seismic Network. A total of eleven strong motion stations, located in Western Greece, were used. We applied several methods and derived Vs30 estimates for all stations based on topography and geology. Moreover, we collected and included in the database all the crucial information regarding magnitude (in Mw scale), style of faulting and epicentral distance. Thus, the database includes all the necessary information for strong ground motion studies. Records were included in the database after careful processing which included various steps (e.g. format change, filtering, pre-selection etc). Finally, a number of key ground motion parameters (PGA, PGV, PGD, spectra) were obtained through the appropriate processing for the 110 accelerograms that were included in the database. As a final step, the Danciu & Tselentis, 2007 ground motion prediction equation (GMPE) was used for comparison and validation of the results. Results indicated a good comparison of ground motion values calculated during this Thesis and the predicted values obtained by the Danciu & Tselentis, 2007 GMPE. The database is accessible through a web interface , that allows the easy search, plotting and data export.