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Titlebook: Computational Earthquake Science Part II; Andrea Donnellan,Peter Mora,Xiang-chu Yin Book 2004 Springer Basel AG 2004 aftershock.assimilati

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樓主: antihistamine
41#
發(fā)表于 2025-3-28 17:32:07 | 只看該作者
42#
發(fā)表于 2025-3-28 20:14:36 | 只看該作者
43#
發(fā)表于 2025-3-29 01:56:32 | 只看該作者
Book 2004 embraces dynamic rupture and wave propagation, computational environment and algorithms, data assimilation and understanding, and applications of models to earthquakes. This part also contains articles on the computational approaches and challenges of constructing earthquake models..
44#
發(fā)表于 2025-3-29 05:19:30 | 只看該作者
45#
發(fā)表于 2025-3-29 08:00:46 | 只看該作者
46#
發(fā)表于 2025-3-29 14:54:49 | 只看該作者
https://doi.org/10.1007/978-3-662-68569-3tained for each model are similar, showing that the solution of the dynamic problem is non-unique. In other words, it is not always possible to separate strength drop and the slip-weakening distance using rupture modeling, in agreement with the conclusions by GUATTERI and SPUDICH (2000).
47#
發(fā)表于 2025-3-29 17:35:16 | 只看該作者
https://doi.org/10.1007/978-3-663-02052-3ssimilation of non-primary data could yield biased simulation results. We present a primary data set for the San Andreas and Imperial faults for comparison with non-primary data in existing databases, and propose standard formats and structure for paleoseismic data assimilation into numerical simulation models.
48#
發(fā)表于 2025-3-29 20:30:21 | 只看該作者
Guided Waves from Sources Outside Faults: An Indication for Shallow Fault Zone Structure?ll outside a FZ continuous with depth. The results support, in conjunction with recent observational evidence, a model for natural faults with shallow trapping structures rather than ones that span the entire seismogenic zone. This may have implications for fault mechanics as well as for aspects of shaking hazard near faults.
49#
發(fā)表于 2025-3-30 02:03:00 | 只看該作者
50#
發(fā)表于 2025-3-30 07:10:58 | 只看該作者
Assimilation of Paleoseismic Data for Earthquake Simulationssimilation of non-primary data could yield biased simulation results. We present a primary data set for the San Andreas and Imperial faults for comparison with non-primary data in existing databases, and propose standard formats and structure for paleoseismic data assimilation into numerical simulation models.
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