地域的な震源スケ-リング則を用いた大地震(M7級)のための設計用地震動予測 PREDICTION OF STRONG GROUND MOTION FOR M 7 EARTHQUAKE USING REGIONAL SCALING RELATIONS OF SOURCE PARAMETERS

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We propose a synthetic procedure for predicting strong ground motion at a specific site from a future large earthquake using a semi-empirical method. First, we estimate regional scaling relations of source parameters based on the earthquake observation in the objective region. Next we propose the operations to correct the empirical Green's functions by considering the differences in stress drop, attenuation effect, Fmax, and radiation patterns between large and small earthquakes. The above method is applied to ground motion prediction for future earthquake (M=7, Δ=13km) caused by NEGORO fault in Wakayama, Japan. Here, we utilize 7 small-events with magnitudes of 3.3〜4.4, judging from the event locations and source characteristics. We evaluated the variation of ground motions synthesized using different small-event motions individually as empirical Green's functions, and we obtained the results wherein the peak acceleration and velocity of the synthetic motion using the small-event record of M 4.4 are comparable to the empirical values, estimated from Watabe's and Kanai's formulas, respectively, and the upper limits of the synthetic velocity response spectra show good agreement with the design response spectra by Osaki. On the other hand, synthetic motions using the records of smaller events than M 4, individually, as empirical Green's functions, tend to be underestimated compared with the empirical values, although the envelopes and the spectral shapes are similar to each other.

収録刊行物

  • 日本建築学会構造系論文報告集

    日本建築学会構造系論文報告集 (416), p57-70, 1990-10

    一般社団法人日本建築学会

被引用文献:  13件中 1-13件 を表示

各種コード

  • NII論文ID(NAID)
    110004088234
  • NII書誌ID(NCID)
    AN10040177
  • 本文言語コード
    JPN
  • 資料種別
    雑誌論文
  • ISSN
    09108025
  • NDL 記事登録ID
    3688501
  • NDL 刊行物分類
    ME15;NA11
  • NDL 雑誌分類
    ZN1(科学技術--建設工学・建設業)
  • NDL 請求記号
    Z16-1419
  • データ提供元
    CJP引用  NDL  NII-ELS 
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