Benchmark tests for strong ground motion prediction methods: Case for stochastic green's function method (part2)

Kenichi Kato, Yoshiaki Hisada, Susumu Ohno, Arihide Nobata, Atsushi Morikawa, Yamamoto Yu

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We performed a benchmark tests for the strong motion prediction methods using stochastic Green's function method. In addition to the previous paper (Part 1), frequency dependent radiation coefficient of the source and oblique incidences of both SH and SV waves are newly considered. All the results calculated by four teams generally show good agreement to each other, although the analytical conditions are more complicated than the Part 1 paper. Since random numbers are used in generating time histories, synthesized amplitude shows variation in particular frequencies. When applying the stochastic Green's function method, this variation should be in mind.

    Original languageEnglish
    Pages (from-to)67-72
    Number of pages6
    JournalAIJ Journal of Technology and Design
    Volume18
    Issue number38
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Benchmark tests
    • Fault model
    • Point source
    • Random numbers
    • Stochastic Green's function method
    • Strong motion prediction methods

    ASJC Scopus subject areas

    • Architecture
    • Building and Construction

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