Strong-Motion Networks in Greece and Their Efficient Use in the Derivation of Regional Ground-Motion Prediction Models

Abstract

AbstractThe 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.KeywordsGround MotionPeak Ground AccelerationStrong MotionStrong Ground MotionHypocentral DistanceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.