A PROBABILISTIC DISTRIBUTION MODEL FOR PEAK ACCELERATION OF SEISMIC ACTION

Performing performance-based fully probabilistic seismic design throughout the lifecycle is a trend in the future development of seismic design for engineering structures. The probability distribution model of ground motion forms the basis for conducting comprehensive probabilistic seismic analysis of engineering structures. To develop a probabilistic distribution model for the peak ground acceleration (PGA) of seismic motion. A mount of statistical samples for PGA was constructed based on a large volume of recorded ground motion data collected from The Japan Strong-motion seismological networks. The PGA statistical samples were classified based on the relationship between the site category in Chinese engineering sites and the shear wave velocity at a depth of 30 meters.The generalized extreme value (GEV) distribution was employed as the probability model for the PGA samples. The GEV analysis of the established PGA samples was carried out utilising the maximum likelihood estimation (MLE) method. The results indicate that the peak ground acceleration follows a Type II extreme value distribution. Finally, the probability distribution models for PGA were provided for different sites in China.