This paper discusses a newly developed high-quality integrated dataset of shallow earthquake ground motions that occurred in Iran, from 1976 to 2013. A total of 860 three-component strong motion records are processed from 183 earthquake events, moment magnitudes 5.0 ≤ Mw ≤ 7.4, and rupture distances of RRUP ≤ 120 km. Strong motion data from Iran having special tectonic features and shallow earthquakes with depths less than 35 km are included. This paper presents a thorough procedure used to collect and to generate a database following the Next-Generation Attenuation-West research projects. This database can be used in the development and ranking of ground motion models and for seismological and engineering hazard and risk analyses. Unproces...
This paper presents a new empirical model to predict the mean period (Tm) as a frequency-content par...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
Strong motion data recorded by the Turkish national strong motion network has been compiled and proc...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
An updated Hellenic database of strong ground motion recordings together with the earthquake source ...
ABSTRACT: The recorded strong motion data in Iran since 1994 till the end of 2002 are investigated i...
A recently compiled, comprehensive, and good-quality strong-motion database of the Iranian earthquak...
In this thesis it is aimed to compile the Turkish strong-motion database for its efficient use in ea...
The large number of strong motion data from the national network of strong motion Iran (NSMNI) motiv...
Ground-motion prediction equations are an essential element of PSHA. In seismic hazard analysis, att...
This paper presents a new empirical model to predict the mean period (Tm) as a frequency-content par...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
Strong motion data recorded by the Turkish national strong motion network has been compiled and proc...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
The seismic risk studies in Iran are in the first stages. Till now, no catalog of strong motion acce...
An updated Hellenic database of strong ground motion recordings together with the earthquake source ...
ABSTRACT: The recorded strong motion data in Iran since 1994 till the end of 2002 are investigated i...
A recently compiled, comprehensive, and good-quality strong-motion database of the Iranian earthquak...
In this thesis it is aimed to compile the Turkish strong-motion database for its efficient use in ea...
The large number of strong motion data from the national network of strong motion Iran (NSMNI) motiv...
Ground-motion prediction equations are an essential element of PSHA. In seismic hazard analysis, att...
This paper presents a new empirical model to predict the mean period (Tm) as a frequency-content par...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...
We apply three data-driven selection methods, log-likelihood (LLH), Euclidean distance-based ranking...