초록

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Abstract ▼ AI-Helper

Ground motion models predicting intensity measures on surface use a time-averaged shear wave velocity, VS30, as a key variable simulating site effect. The VS30 can be directly estimated from VS profiles if the profile depth (z) is greater than or equal to 30 m. However, some sites have VS profiles w...

Ground motion models predicting intensity measures on surface use a time-averaged shear wave velocity, VS30, as a key variable simulating site effect. The VS30 can be directly estimated from VS profiles if the profile depth (z) is greater than or equal to 30 m. However, some sites have VS profiles with z < 30 m. In this case VS30 can be predicted using extension models. This study proposes new coefficient sets for existing prediction equations using 297 Korea VS profiles. We have collected VS profiles from KMA and Geoinfo database. Fitting six existing methods to data, we suggest new coefficients for each method and evaluate their performance. It turns out that if z ≥ 15 m, the standard deviation (σ) of residual in log10 is 0.061, which indicates that the estimated VS30 is nearly accurate. If z < 15 m, the σ keeps increasing up to 0.1 for z = 5 m, so we caution the use of models at very low z. Nonetheless, we recommend investigating up to 30 m depth for VS30 calculation if possible.

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