Abstract The lognormal distribution is commonly used to characterize the aleatory variability of ground-motion prediction equations (GMPEs) in probabilistic seismic hazard analysis (PSHA). However, this approach often leads results without actual physical meaning at low exceedance probabilities. In paper, we discuss how calculate PSHA with a probability. Peak ground acceleration records from NG...

The widespread application of the hybrid empirical method (HEM) has made it a viable approach for developing ground motion prediction equations in regions where there are few strong motion recordings but there are ample weak motion data from small-magnitude earthquakes. The HEM uses empirical estimates of ground motion in one region (the host region) to provide estimates of ground motion in ano...

although there is enough knowledge indicating on the influence of frequency content of input motion on the deformation demand of structures, state-of-the-practice seismic studies use the intensity measures such as peak ground acceleration (pga) which are not frequency dependent. the v max/a max ratio of strong ground motions can be used in seismic hazard studies as the representative of frequen...

Estimates of the earthquake ground motion intensity over a geographical area have multiple uses, that is, emergency management, civil protection and seismic fragility assessment. In particular, with reference to assessment, it is interest estimates values different ground-motion measures in order correlate them observed damage. To this purpose, present paper uses procedure recently proposed lit...

The aim of this paper is to investigate the ability of various site‐condition proxies (SCPs) to reduce ground‐motion aleatory variability and evaluate how SCPs capture nonlinearity site effects. The SCPs used here are time‐averaged shear‐wave velocity in the top 30 m (VS30), the topographical slope (slope), the fundamental resonance frequency (f0) and the depth beyond which Vs exceeds 800 m/s (...

earthquake ground-motions show significant variability in both spectral and temporal characteristics. procedures to generalize and predict strong ground motions may be generally divided into three main disciplines: numerical techniques based on a kinematic source description, empirical attenuation models, and semi-empirical stochastic models. numerous studies have shown that, in the near-fault ...

Probabilistic seismic hazard analysis is a technique for estimating the annual rate of exceedance of a specified ground motion at a site due to the known and suspected earthquake sources. A Monte-Carlo approach is utilized to estimate the seismic hazard at a site. This method uses numerous resampling of an earthquake catalog to construct synthetic catalogs to evaluate the ground motion hazard a...