An Empirical Spectral Ground-Motion Model for Iran Using Truncated Iranian Strong-Motion Database Enriched by Near-Field Records

ABSTRACT

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 acceleration (PGA), and 5%-damped Spectral Accelerations (SA) up to0.0 s for geometric mean of horizontal components. Some records from the NGA-West2 are added to the database to enrich it at near source distances for large magnitude events. Lack of data in the near source distances causes less accuracy in previous Iranian Ground Motion Models (GMMs) in comparison with the current study. In this work, the regression analyses have been performed on a truncated database which causes to obtain unbiased results. We used 3015 acceleration time series from 594 earthquakes after truncation of data to develop a new GMM. The provided model is valid for Joyner-Boore distances ranging from 0 km to80 km and magnitudes ranging from 4 to 7.9 and V_s30 ranging from50 m/s to500 m/s.

KEYWORDS:

• Ground motion models (GMMs)
• strong ground motion
• nonlinear site amplification
• seismic hazard analysis (SHA)
• Near-field
• Iran

Acknowledgments

The authors also would like to acknowledge continuing support of International Institute Earthquake Engineering and Seismology (IIEES) in the framework of the PERSIA (Probabilities of Earthquake Ruptures in Iran) project (subtitle: Suggestion of seismic design spectra for Iran based on recent hazard studies and Iranian strong-motion characteristics, code number 9625). Also, we thank the Building and Housing Research Centre of Iran for permission to access their accelerographic databases.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Data and Resources

The ground-motion records were obtained from the Building and Housing Research Center, Iran (http://site.bhrc.ac.ir/portal/english/Home.aspx, last accessed August 2020).

Table S1 shows the list of earthquakes with magnitudes greater than 6 in the database. The database for developed model in this work is shown in Table S2.

Supplementary Material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/13632469.2023.2226223.

Additional information

Funding

The authors would like to acknowledge Iran National Science Foundation (INSF) for its support. This work was supported by INSF under Grant No. [4002707].