日本地球惑星科学連合2018年大会

講演情報

[JJ] ポスター発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS14] 強震動・地震災害

2018年5月22日(火) 10:45 〜 12:15 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:栗山 雅之(一般財団法人 電力中央研究所 地球工学研究所 地震工学領域)

[SSS14-P23] Early prediction of peak ground acceleration considering site effect parameters

*Ting Yu Hsu1 (1.Assistant Professor)

キーワード:Site Effect, Peak Ground Acceleration, Horizontal to Vertical Spectral Ratio

It is commonly seen that the destructive seismic wave is amplified owing to various site conditions and leads to unforeseen seismic loss. Researchers have shown that site parameters such as the average shear-wave velocity of the upper 30 meters of sediments (Vs30), the Horizontal to Vertical Spectral Ratio (H/V Spectral Ratio, HVSR), and the dominant frequency corresponding to HVSR, are able to address the characteristics of different sites. Therefore, this paper accommodated these site parameters together with P-wave features to estimate the possible peak ground acceleration (PGA) by the use of artificial neural network (ANN) algorithm. The input P-wave features of ANN were calculated from the first 3-second interval of a P-wave signal, and the performances of ANN models with and without site parameters were investigated and discussed. It is found that the proposed ANN model with HVSR parameters effectively reduced the error between estimated PGA and measured PGA when compared with the ANN model without site parameters.