Benchmark tests for strong ground motion prediction methods: Case for stochastic green's function method (part 1)

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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

We performed a benchmark test for the strong motion simulation methods using stochastic Green's function method. All the results calculated by six teams from different institutions generally show good agreement to each other. Since random numbers are used in generating time histories and so on, 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)49-54
Number of pages6
JournalAIJ Journal of Technology and Design
Volume17
Issue number35
DOIs
Publication statusPublished - 2011

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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