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Open AccessJournal ArticleDOI

Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East

Sinan Akkar, +1 more
- 01 Mar 2010 - 
- Vol. 81, Iss: 2, pp 195-206
TLDR
In this article, the authors present an update that corrects the shortcomings identified in those equations, which are primarily, but not exclusively, related to the model for the ground-motion variability.
Abstract
The true performance of ground-motion prediction equations is often not fully appreciated until they are used in practice for seismic hazard analyses and applied to a wide range of scenarios and exceedance levels. This has been the case for equations published recently for the prediction of peak ground velocity (PGV), peak ground acceleration (PGA), and response spectral ordinates in Europe, the Middle East, and the Mediterranean (Akkar and Bommer 2007a,b). This paper presents an update that corrects the shortcomings identified in those equations, which are primarily, but not exclusively, related to the model for the ground-motion variability. Strong-motion recording networks in Europe and the Middle East were first installed much later than in the United States and Japan but have grown considerably over the last four decades. The databanks of strong-motion data have grown in parallel with the accelerograph networks, and in addition to national collections there have been concerted efforts over more than two decades to develop and maintain a European database of associated metadata ( e.g. , Ambraseys et al. 2004). As the database of strong-motion records from Europe, the Mediterranean region, and the Middle East has expanded, there have been two distinct trends in terms of developing empirical ground-motion prediction equations (GMPEs): equations derived from a large dataset covering several countries, generally of moderate-to-high seismicity; and equations derived from local databanks for application within national borders. We refer to the former as pan-European models, noting that this is for expedience since the equations are really derived for southern Europe, the Maghreb (North Africa), and the active areas of the Middle East. The history of the development of both pan-European and national equations is discussed by Bommer et al. (2010), who also review studies that consider the arguments for and against the existence of consistent regional …

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Citations
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OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model

TL;DR: In this paper, a Monte Carlo-based approach is used for the analysis of seismic hazard spectra in the context of earthquake ground motion in a broad range of applications, such as engineering design, assessment of earthquake risk to portfolios of assets within the insurance and reinsurance sectors, and effective mitigation via public policy in the form of urban zoning and building design code formulation.
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Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East

TL;DR: This paper presented the latest generation of ground motion models for the prediction of elastic response (pseudo-) spectral accelerations, as well as peak ground acceleration and velocity, derived using pan-European databases.
Journal ArticleDOI

Ground motion prediction equations derived from the Italian strong motion database

TL;DR: In this paper, a set of ground motion prediction equations (GMPEs) were derived for the geometrical mean of the horizontal components and the vertical, considering the latest release of the strong motion database for Italy.
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Seismic Hazard Assessment (2003–2009) for the Italian Building Code

TL;DR: In this paper, a probabilistic assessment of seismic hazard (PSHA) of Italy in view of the building codes from 2003 to 2009 is presented, based on a logic-tree approach.
References
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Journal ArticleDOI

Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s

TL;DR: In this article, the authors derived ground motion prediction equations for average horizontal-component ground motions as a function of earthquake magnitude, distance from source to site, local average shear-wave velocity, and fault type.
Journal ArticleDOI

NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s

TL;DR: In this article, a new empirical ground motion model for PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0.01-10 s was presented.
Journal ArticleDOI

Empirical Response Spectral Attenuation Relations for Shallow Crustal Earthquakes

TL;DR: In this article, empirical response spectral attenuation relations for the average horizontal and vertical component for shallow earthquakes in active tectonic regions were derived using a database of 655 recordings from 58 earthquakes.
Journal ArticleDOI

An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra

TL;DR: In this article, a model for estimating horizontal ground motion amplitudes caused by shallow crustal earthquakes occurring in active tectonic environments is presented, which provides predictive relationships for the orientation-independent average horizontal component of ground motions.
Journal ArticleDOI

Summary of the Abrahamson & Silva NGA Ground-Motion Relations:

TL;DR: In this paper, the authors derived a ground motion model for the rotation-independent average horizontal component from shallow crustal earthquakes using the PEER NGA database, which is applicable to magnitudes 5-8.5, distances 0-200 km, and spectral periods of 0-1 0 sec.
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