nkysdb: 共著者関連データベース

DAN Kazuo 様の 共著関連データベース

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+(A list of literatures under single or joint authorship with "DAN Kazuo")

共著回数と共著者名 (a list of the joint author(s))

    8: DAN Kazuo

    5: SATO Toshiaki

    2: IRIKURA Kojiro, MIYAKOSHI Jun'ichi

    1: AWATA Yasuo, FUJIWARA Hiroyuki, FUKUKITA Akira, FURUMURA Mitsuko, GRAVES Robert W, GRAVES Robert W., ISHII Toru, KAGAWA Takao, MATSUSHIMA Shinichi, MIYAKE Hiroe, MIYAKOSHI Ken, MORIKAWA Nobuyuki, OANA Atsuko, SOMERVILLE Paul G, SOMERVILLE Paul G., TOHDO Masanobu, WALD David J, WATANABE Motofumi, YASIRO Kazuhiko


発行年とタイトル (Title and year of the issue(s))

    1998: Synthetic Strong Motions in Tokyo for the Great 1923 Kanto, Japan, Earthquake (Ms8.2) by Hybrid Broadband Time History Simulation Procedure Combining 3 D Finite Difference Method and Semi Empirical Method Based on Variable Slip Rupture Model [Net] [Bib]

    1999: A Semi empirical Method for Simulating Strong Ground Motions Based on Variable Slip Rupture Models for Large Eathquakes [Net] [Bib]

    2001: Characterized Fault Model of Scenario Earthquake Caused by the Itoigawa Shizuoka Tectonic Line Fault Zone in Central Japan and Strong Ground Motion Prediction [Net] [Bib]

    2003: Earthquake Source and Ground Motion Characteristics of Great Kanto Earthquakes (S51G 03) [Net] [Bib]

    2003: Empirical Relation of Effective Stress on Subfault in Asperity to Fault Type and Depth Inferred from Exiting Variable Slip Rupture Model for Ctustal Earthquake (SS02/04A/D 035) [Net] [Bib]

    2003: Simulation of Ground Motions during the 1993 Hokkaido Nansei Oki Earthquake by Empirical Green's Function Method and Stochastic Green's Function Method Verification of Characterizing Procedure of Earthquake Source Model for Strong Motion Prediction (SS04a/09P/D 012) [Net] [Bib]

    2006: Scaling Relation of Mega fault Systems for Strong Ground Motion Prediction(S51B 1274) [Net] [Bib]

    2016: Heterogeneous Dynamic Stress Drops on Asperities in Inland Earthquakes Caused by Very Long Faults and Their Application to the Strong Ground Motion Prediction [Net] [Bib]

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