S
Sinan Akkar
Researcher at Kandilli Observatory and Earthquake Research Institute
Publications - 101
Citations - 5056
Sinan Akkar is an academic researcher from Kandilli Observatory and Earthquake Research Institute. The author has contributed to research in topics: Seismic hazard & Peak ground acceleration. The author has an hindex of 35, co-authored 99 publications receiving 4282 citations. Previous affiliations of Sinan Akkar include Middle East Technical University & Stanford University.
Papers
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Journal ArticleDOI
Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East
Sinan Akkar,Julian J. Bommer +1 more
TL;DR: 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.
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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.
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Reference database for seismic ground-motion in Europe (RESORCE)
Sinan Akkar,M. A. Sandikkaya,M. A. Sandikkaya,M. Senyurt,A. Azari Sisi,Bekir Özer Ay,Paola Traversa,John Douglas,Fabrice Cotton,Lucia Luzi,B. Hernandez,S. Godey +11 more
TL;DR: The Reference Database for Seismic Ground-Motion in Europe (RESORCE) as discussed by the authors is one of the by-products of the SeIsmic Ground Motion Assessment (SIGMA) project.
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Empirical Prediction Equations for Peak Ground Velocity Derived from Strong-Motion Records from Europe and the Middle East
Sinan Akkar,Julian J. Bommer +1 more
TL;DR: In this article, the authors used the strong-motion database for the prediction of peak ground velocity (PGV) and derived new equations for both the larger and the geometric mean of the horizontal components.
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Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe
Elise Delavaud,Fabrice Cotton,Fabrice Cotton,Sinan Akkar,Frank Scherbaum,Laurentiu Danciu,Laurentiu Danciu,Laurentiu Danciu,Céline Beauval,Céline Beauval,Stéphane Drouet,Stéphane Drouet,John Douglas,Roberto Basili,M. Abdullah Sandıkkaya,Margaret Segou,Ezio Faccioli,Nikos Theodoulidis +17 more
TL;DR: In this article, a logic tree for ground-motion prediction in Europe has been constructed by combining expert judgment and data testing, and sensitivity analysis of the weights on the seismic hazard has been conducted, showing that once the GMPEs have been selected, the associated set of weights has a smaller influence on the hazard.