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InTech
Part of book or chapter of book . 2012
Data sources: InTech
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Part of book or chapter of book
License: CC BY
Data sources: UnpayWall
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Part of book or chapter of book . 2012
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Hal Université Gustave Eiffel
Part of book or chapter of book . 2012
https://doi.org/10.5772/28081...
Part of book or chapter of book . 2012 . Peer-reviewed
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Strong Ground Motion Estimation

Authors: O'Connell, Daniel; Ake, Jon P; Bonilla, Luis Fabian; Liu, Pengcheng; Laforge, Roland; Ostenaa, Dean;

Strong Ground Motion Estimation

Abstract

This progressive sequence of ground motion surprises suggests that the current state ofknowledge in strong motion seismology is probably not adequate to make unequivocal strong ground motion predictions. However, with these caveats in mind, strong ground motion estimation provides substantial value by reducing risks associated with earthquakes and engineered structures. We present the current state of earthquake ground motion estimation. We start with seismic source characterization, because this is the most important and challenging part of the problem. To better understand the challenges of developing ground motion prediction equations (GMPE) using strong motion data, we present the physical factors that influence strong ground shaking. New calculations are presented to illustrate potential pitfalls and identify key issues relevant to ground motion estimation and future ground motion research and applications. Particular attention is devoted to probabilistic implications of all aspects of ground motion estimation.

Country
France
Related Organizations
Keywords

MOUVEMENT DE TERRAIN, COMPORTEMENT NON LINEAIRE, REPONSE SISMIQUE, [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], NONLINEAR SITE RESPONSE, GROUND MOTION

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid