A new attenuation model is proposed to estimate the cumulative absolute velocity (CAV) of
strong ground motions based on an updated earthquake database of the earthquakes …

Capturing the center, the body, and the range of ground‐motion predictions is an
indispensable element of site‐specific probabilistic seismic hazard analyses (PSHAs), for …

This research attempts to study the pulse-like ground motions, recorded on the Iranian
plateau, and propose predictive equations for simulating the main features of this type of …

We analysed 478 three-component strong ground motion time-series from 65 events in the
moment magnitude (M w) 3–6.5 range recorded at 111 stations at distances up to 150 km …

In this study, two metaheuristic optimization algorithms are employed to estimate a mixed
model-based ground-motion model (GMM) with several variance components. Two …

We provide a comprehensive earthquake catalogue for Iran that is suitable for detailed
seismological analysis and seismic hazard assessment. Based on the work by (Mousavi …

This paper presents a new empirical model to predict the mean period (T m) as a frequency-
content parameter of earthquake record using the strong ground motions recorded in Iran …

Probabilistic seismic hazard analysis (PSHA) often incorporates significant uncertainty in its
inputs, which have the potential to substantially affect the estimated hazards. To improve the …

A probabilistic seismic hazard assessment in terms of peak ground acceleration (PGA) and
spectral acceleration (SA) values, for both 10% and 5% probability of exceedance in 50 …

An updated strong-motion database of the Iranian earthquakes has been used to propose
empirical equations for the prediction of peak ground velocity (PGV), peak ground …