S T A B I L I T Y A S S E S S M E N T O F G M P E S F O R I R A N I A N G R O U N D M O T I O N D A T A B A S E
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Selection of Ground Motion Prediction Equation (GMPE) is one of the key elements within a seismic hazard analysis. The variety of available GMPE models makes this selection a scientific challenge. Therefore, the stability assessment of a set of GMPE models is investigated in this paper by employing the new emerged Re-Sampling Analysis (RSA) methodology (Azarbakht et al., 2014). Four GMPE categories are examined in this paper which are: (1) The local GMPE models which are developed based on Iranian events; (2) Regional GMPE models which are for Europe and Asia; (3) The NGA-WEST1 GMPE models (Power et al., 2008); (4) The NGA-WEST2 GMPE models (Bozorgnia et al. 2014). The ground motion database, in this study, consists of 691 acceleration time series resulted from 85 seismic events. The magnitude range is between 5 to 7.4 and all the records have the distance less than 200 km (BHRC, 2013). The analysis is performed for spectral accelerations corresponding to the eight periods (T = 0.0, 0.1, 0.2, 0.5, 0.75, 1.0, 1.5, and 2.0 sec).The conventional statistical tools show good performance for nearly all the considered GMPEs, and they are not sensitive to the given database. However, the RSA results illustrate the bias versus magnitude, distance ($R_{JB}$ is identical to $R_{epi}$ in this study) and shear wave velocity $(V_{s30})$. Based on the RSA methodology, the better model is the one in which the bias decreases when the size of sampling increases. Therefore, based on the results obtained in this study, GMPE model of Rahpeyma et al. as well as that of Zafarani et al. show good agreement with these criteria. In addition, both NGA GMPE groups (NGA-WEST1 and NGA-WEST2 GMPEs) show poor performance based on the RSA results. It is worth mentioning that the given GMPE performance is not the same in different periods. The results of the RSA methodology can be used in order to establish a logic tree analysis in further studies.It is worth mentioning that all the results in this paper are constrained to the given assumptions as well as the considered methodologies and database. The results may change by using different databases and enrichment of the data during future studies.
Keywords:
Language:
Persian
Published:
Sharif Journal Civil Engineering, Volume:33 Issue: 3, 2017
Pages:
57 to 66
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