TY - JOUR
T1 - Benchmark tests for strong ground motion prediction methods
T2 - Case for stochastic green's function method (Part 3)
AU - Kato, Kenichi
AU - Hisada, Yoshiaki
AU - Ohno, Susumu
AU - Nobata, Arihide
AU - Morikawa, Atsushi
AU - Yamamoto, Yu
PY - 2013/2
Y1 - 2013/2
N2 - We performed benchmark tests for the strong motion prediction methods using stochastic Green's function method. Previous papers (Parts 1 & 2) assumed hypothetical sources and subsurface structures. In this paper, the 1923 Kanto earthquake (M7.9) is considered as an actual source, and the Kanto sedimentary basin is used for structure model. All the results calculated by participants generally show a good agreement to each other, in spite of the complicated analytical condition such as oblique incidence of SH and SV waves. The results are also compared to those from an empirical attenuation model, and the discrepancy of the response spectra is discussed.
AB - We performed benchmark tests for the strong motion prediction methods using stochastic Green's function method. Previous papers (Parts 1 & 2) assumed hypothetical sources and subsurface structures. In this paper, the 1923 Kanto earthquake (M7.9) is considered as an actual source, and the Kanto sedimentary basin is used for structure model. All the results calculated by participants generally show a good agreement to each other, in spite of the complicated analytical condition such as oblique incidence of SH and SV waves. The results are also compared to those from an empirical attenuation model, and the discrepancy of the response spectra is discussed.
KW - Benchmark tests
KW - Random numbers
KW - Stochastic Green's function method
KW - Strong motion prediction methods
KW - The 1923 Kanto earthquake
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U2 - 10.3130/aijt.19.37
DO - 10.3130/aijt.19.37
M3 - Article
AN - SCOPUS:84874387295
VL - 19
SP - 37
EP - 42
JO - AIJ Journal of Technology and Design
JF - AIJ Journal of Technology and Design
SN - 1341-9463
IS - 41
ER -