4.5 Article

Ground-Motion Prediction Equations of Spectral Ordinates and Arias Intensity for Iran

Journal

JOURNAL OF EARTHQUAKE ENGINEERING
Volume 14, Issue 1, Pages 1-29

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/13632460902988984

Keywords

Ground-Motion Prediction Equation; Spectral Ordinates; Aria Intensity; Rock; Soil; Iran

Ask authors/readers for more resources

The purpose of this study is to complete the previous research publication of the first author on the subject of ground-motion prediction equations (GMPEs) for Iran [Ghodrati Amiri et al., 2007]. Several studies are being conducted to systematically assess the seismic hazards of areas within the seismic zones of Iran. Therefore, there is an inevitable need for appropriate GMPEs of spectral ordinates. Similarly, suitable relations of Arias intensity (AI) for this region are useful to capture the potential destructiveness of an earthquake. This article derives new relations using the strong-motion database for two seismic zones of Zagros and Alborz-Central Iran according to tectonic conditions, following a new processing of all of the records. A total of 725 strong-motion accelerograms recorded from 379 earthquakes with magnitudes between 4.0 and 7.7 and with hypocentral distances larger then 5 kilometers and mostly smaller than 200 kilometers are used to obtain equations. Analogous to the previous study, relations are derived for soil and rock site conditions to obtain better results. Each record is individually filtered and then the needed parameters are extracted from the earthquake acceleration record data. Finally, the relationships between the spectral acceleration (SA), Arias intensity (AI), and earthquake parameters are obtained. The earthquake independent parameters chosen are hypocentral distance and magnitude in order to make it easier to use the relationships for seismic hazard analysis. The predictions are found to be consistent with those from previous studies in this field.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available