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چکیده
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Selection of Ground Motion Prediction Equation (GMPE) is one of the key elements within a seismic hazard analysis. The variety of available GMPE models makes this selection a scientific challenge. Therefore, the stability assessment of a set of GMPE models are investigated in this paper by employing the new emerged Re-Sampling Analysis (RSA) methodology (Azarbakht et al. 2014). Four GMPE categories were examined in this paper which are: (1) The local GMPE models which are developed based on Iranian events, (2) Regional GMPE models which are for Europe and Asia, (3) The NGA-WEST1 GMPE models, and (4) The NGA-WEST2 GMPE models. The ground motion database in this study consists of 691 acceleration time series resulted from 85 seismic events. The magnitude range is between 5.0 to 7.4 and all the records have the distance less than 200 km. The RSA results illustrate the bias versus the magnitude, distance measure (Joyner-Boore distance (RJB) is identical to Epicentral distance (Repi) in this study) and shear wave velocity (Vs30). By given the mentioned points, Rahpeyma et al. (2014) model, a genetic programming based (GP-based) GMPE, as well as Zafarani et al (2012), physical attenuation relationship, show good agreement against different seismic parameters (Mw, RJB, Vs30) with this criteria. In addition, both NGA GMPE groups (NGA-WEST1 and NGA-WEST2) show poor performance based on the RSA results.
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