Updated PGA, PGV, and Spectral Acceleration Attenuation Relations for Iran

Saffari, Hamid; Kuwata, Yasuko; Takada, Shiro; Mahdavian, Abbas

doi:10.1193/1.3673622

Cited by 44 publications

(12 citation statements)

References 14 publications

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“…Based on Figure 15, the model proposed by Sa ari et al [29] is appropriate to estimate inelastic displacement in Zagros region in rock sites.…”

Section: Comparisonmentioning

confidence: 99%

“…(6)- (8) [27], Ambraseys et al [13], Ghodrati Amiri et al [8], Ghasemi et al [28], Sa ari et al [29], and Hassani et al [30]. Elastic GMPEs are used to obtain elastic displacement.…”

Section: Comparisonmentioning

confidence: 99%

“…These elastic GMPEs are classi ed in two categories. The rst group includes equations that were obtained based on Iran earthquakes [8,[28][29][30]. In the second group, equations were obtained using some of the events that occurred in Iran [13,26,27].…”

Section: Comparisonmentioning

confidence: 99%

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Ground Motion Prediction Equation for Inelastic Spectral Displacement in Iran

et al. 2017

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Abstract. This paper is devoted to investigating the inelastic displacement spectra compatible with Iran. Owing to inadequacy of code-compliant elastic design spectra to predict structural damage during sever earthquakes, di erent approaches are proposed to overcome this problem. Inelastic design spectrum is one of the most well-known methods introduced by researchers. In practice, attenuation relationships can be used in probabilistic seismic hazard analysis to obtain the inelastic design spectrum. In this paper, a new Ground Motion Prediction Equation (GMPE) has been proposed for inelastic spectral displacement. In this regard, 806 horizontal ground motions are utilized with magnitudes ranging from 4 to 7 and epicentral distances less than 200 Km, which are obtained from 330 earthquakes in Iran. According to the tectonic condition, Iran zone can be divided into two parts: Zagros and Alborz-central Iran. However, three equations have been presented for the whole country zone, Zagros and Alborz-central Iran zones, separately. The main parameters such as earthquake magnitude, site-source distance, and site conditions have been related to the inelastic spectral displacement. Based on average shear wave velocity to a depth of 30 m, sites have been categorized into three classes. For the purpose of practicality, simpli ed equations have been proposed to predict inelastic spectral displacements in Iran.

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“…Based on Figure 15, the model proposed by Sa ari et al [29] is appropriate to estimate inelastic displacement in Zagros region in rock sites.…”

Section: Comparisonmentioning

confidence: 99%

“…(6)- (8) [27], Ambraseys et al [13], Ghodrati Amiri et al [8], Ghasemi et al [28], Sa ari et al [29], and Hassani et al [30]. Elastic GMPEs are used to obtain elastic displacement.…”

Section: Comparisonmentioning

confidence: 99%

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Ground Motion Prediction Equation for Inelastic Spectral Displacement in Iran

et al. 2017

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“…These quantities were used to get seismicity of two types of seismic source; active faults 5) and floating earthquakes. Attenuation relations for Iran major zones, which were already published by authors 6) and is able to evaluate characteristics of seismic major zone and fault mechanism, were used for the analysis. Prediction of ground motion for two levels of hazards, 10% and 2% exceedance probabilities of occurrence per 50 years lifetime of general buildings was calculated in terms of peak ground acceleration (PGA), peak ground velocity (PGV), and spectral acceleration (SA) in each period on the rock site, in meshes whose dimensions were 0.1 latitudes and 0.1 longitudes.…”

Section: Previous Psha For Iranmentioning

confidence: 99%

Hazard-Consistent Magnitude and Distance in Iran

Saffari¹

2012

gseku.e

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This study deals with the deaggregation of probabilistic seismic hazard of Iran. To this, the relative contributions of earthquake parameters to the total hazard are computed by probabilistic seismic hazard analysis (PSHA) deaggregation. Afterwards, the representative values of earthquake magnitude and distance are obtained for all meshes of Iran and they are plotted as hazard-consistent magnitude and distance, respectively. In the deaggregation analysis for major cities with over one million populations, the values of the strong-motion parameter are recalculated using representative values of magnitude and distance of high contributed seismic sources for PGA, PGV and in each period. New seismic parameters will be matching closely with the distance and magnitude values as obtained by the PSHA approach.

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“…which is developed for world earthquakes. Second one is model of Saffari et al 25) which is newest model that has developed for Iranian plateau. Curves are drawn for two types of soil profile with V S30 =560 and V S30 =275 and for every soil profile total number of 1064 simulations have done (19 distances 8 azimuthally equal lines 7 rupture starting points).…”

Section: Comparison With Attenuation Relationsmentioning

confidence: 99%

Finite Fault Modeling of Future Large Earthquake From North Tehran Fault in Karaj, Iran

Samaei

Miyajima

Saffari

et al. 2012

J. JSCE

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The main purpose of this study is to predict strong ground motions from future large earthquake for Karaj city, the capital of Alborz province of Iran. This city is an industrialized city having over one million populations and is located near several active faults. Finite fault modeling with a dynamic corner frequency has adopted here for simulation of future large earthquake. Target fault is North Tehran fault with the length of 110 km and rupture of west part of the fault which is closest to Karaj, assumed for this simulation. For seven rupture starting points, acceleration time series in the site of Karaj Caravansary -historical building-are predicted. Peak ground accelerations for those are vary from 423 cm/s 2 to 584 cm/s 2 which is in the range of 1990 Rudbar earthquake (M w =7.3) . Results of acceleration simulations in different distances are also compared with attenuation relations for two types of soil. Our simulations show general agreement with one of the most well known world attenuation relations and also with one of the newest attenuation relation that hase developed for Iranian plateau.

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Updated PGA, PGV, and Spectral Acceleration Attenuation Relations for Iran

Cited by 44 publications

References 14 publications

Ground Motion Prediction Equation for Inelastic Spectral Displacement in Iran

Ground Motion Prediction Equation for Inelastic Spectral Displacement in Iran

Hazard-Consistent Magnitude and Distance in Iran

Finite Fault Modeling of Future Large Earthquake From North Tehran Fault in Karaj, Iran

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