Abstract
The destructive earthquakes that occurred over the last years in the broader Greek region urged the need for acquiring high quality strong ground motion recordings. This necessity led to the enhancement of accelerographic networks by deploying a significant number of new sensors all around Greece, improving their spatial coverage. Within the framework of this work, a new, more efficient, strong motion data processing technique is presented and the properties of the updated Greek strong motion database are presented. The resulted high quality dataset will be used in various applications of engineering seismology, soil dynamics and earthquake engineering with the main goal being the derivation of new ground motion prediction equations (GMPEs) for the broader Aegean area . Updated seismological and geotechnical information such as site classification of ITSAK accelerographic stations based on V S30 , is adopted for the derivation of new GMPEs.
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Acknowledgements
We are profoundly indebted to Dr. David M. Boore for his significant contribution in the strong motion data processing and his comments of the present paper. We would like to thank, Prof. J. Stewart (UCLA), Pr. N. Klimis (DUTH-Greece), Profs. G Mylonakis and G. Athanasopoulos (TUPatras-Greece), Dr. R. Kayen (USGS) and Pr. S. Foti (Pol. Torino – Italy) for their valuable help in the site classification in Greek accelerographic sites. Special thanks are due to Dr Toril Van Eck for his critical reviews/corrections and, Pr. George Mylonakis for his careful reading of the manuscript as well. This work is supported by European Community research project, Transfer of Knowledge, ITSAK-GR: MTKD-CT-2005-029627.
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Margaris, B., Skarlatoudis, A., Savvaidis, A., Theodoulidis, N., Kalogeras, I., Koutrakis, S. (2011). Strong-Motion Networks in Greece and Their Efficient Use in the Derivation of Regional Ground-Motion Prediction Models. In: Akkar, S., Gülkan, P., van Eck, T. (eds) Earthquake Data in Engineering Seismology. Geotechnical, Geological, and Earthquake Engineering, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0152-6_6
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