Benchmark tests for strong ground motion prediction methods: Case for stochastic green's function method (Part 3)

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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)37-42
Number of pages6
JournalAIJ Journal of Technology and Design
Volume19
Issue number41
DOIs
Publication statusPublished - 2013 Feb 1

Keywords

  • Benchmark tests
  • Random numbers
  • Stochastic Green's function method
  • Strong motion prediction methods
  • The 1923 Kanto earthquake

ASJC Scopus subject areas

  • Architecture
  • Building and Construction

Fingerprint Dive into the research topics of 'Benchmark tests for strong ground motion prediction methods: Case for stochastic green's function method (Part 3)'. Together they form a unique fingerprint.

Cite this