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| Titel |
Regionally Adaptable Ground Motion Prediction Equation (GMPE) from Empirical
Models of Fourier and Duration of Ground Motion |
| VerfasserIn |
Sanjay Bora, Frank Scherbaum, Nicolas Kuehn, Peter Stafford, Benjamin Edwards |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250134712
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| Publikation (Nr.) |
 EGU/EGU2016-15460.pdf |
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| Zusammenfassung |
| The current practice of deriving empirical ground motion prediction equations (GMPEs)
involves using ground motions recorded at multiple sites. However, in applications
like site-specific (e.g., critical facility) hazard ground motions obtained from the
GMPEs are need to be adjusted/corrected to a particular site/site-condition under
investigation. This study presents a complete framework for developing a response spectral
GMPE, within which the issue of adjustment of ground motions is addressed in a
manner consistent with the linear system framework. The present approach is a
two-step process in which the first step consists of deriving two separate empirical
models, one for Fourier amplitude spectra (FAS) and the other for a random vibration
theory (RVT) optimized duration (Drvto) of ground motion. In the second step
the two models are combined within the RVT framework to obtain full response
spectral amplitudes. Additionally, the framework also involves a stochastic model
based extrapolation of individual Fourier spectra to extend the useable frequency
limit of the empirically derived FAS model. The stochastic model parameters were
determined by inverting the Fourier spectral data using an approach similar to the
one as described in Edwards and Faeh (2013). Comparison of median predicted
response spectra from present approach with those from other regional GMPEs
indicates that the present approach can also be used as a stand-alone model. The
dataset used for the presented analysis is a subset of the recently compiled database
RESORCE-2012 across Europe, the Middle East and the Mediterranean region. |
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