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Part of book or chapter of book
License: CC BY
Data sources: UnpayWall
https://doi.org/10.5772/55682...
Part of book or chapter of book . 2013 . Peer-reviewed
Data sources: Crossref
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Simulation of Near-Field Strong Ground Motions Using Hybrid Method

Authors: Babak Ebrahimian;

Simulation of Near-Field Strong Ground Motions Using Hybrid Method

Abstract

Earthquake disaster investigations have shown that numerous strong earthquakes are caused by remobilization of active faults. Many casualties and severe damages to structures as well as huge economic losses have resulted from ground motions of strong earthquakes caused by active faults buried under urban areas. Recently, both potential hazard and defenses of active faults concealed under urban area has become a grand research subject paid highly attention to by the seismologists. Near-field strong ground motions, especially their high frequency content, are intensively affected by both slip heterogeneity on fault plane and rupture process of an earthquake fault. In the simulations of near-field strong ground motions, modeling effective finite fault source is very important. The gradually increasing number of recorded near source time histories has recently enabled strong motion seismologists to analyze more precisely the character of the near-fault ground motions and therefore contribute to the physical understanding of those features that control them (Malagnini et al. 2002, 2011; Akinci et al. 2010; D’Amico et al. 2010). Mavroeidis and Papageorgiou (2002) presented a compre‐ hensive review and study of the factors that influence the near-source ground motions.

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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!
0
Average
Average
Average
hybrid