傳統定阻尼式滾動隔震支承，為了避免大地震下的支承最大位移反應超出設計值而產生碰撞，需要設計較高的阻尼力來避免此現象的發生，可能導致滾動隔震支承加速度反應於一般中小地震下過度放大，隔震效果不佳。前人研究嘗試將壓電致動器安裝於滾動隔震支承內，使滾動隔震支承具備可變式阻尼的功能，亦即致動器可根據地震特性即時更改隔震支承之阻尼力。前人研究並探討滾動隔震支承最大位移反應與地震特性參數之相關性，得出最大地表速度(PGV)與滾動隔震支承最大位移反應的相關性較佳。本研究將利用地震初達波到達後的前幾秒資訊，建立預測PGV的類神經網路模型，並建立根據PGV控制阻尼力的控制律。如此即可根據初達波特徵預測PGV，並根據控制律得到該次地震所需要的阻尼力。本研究並建立不同秒數的PGV預測模型，根據不同秒數的PGV預測結果以更新所推估之阻尼力，並探討此方法對於斜面式滾動隔震支承之隔震效果。

In order to avoid the maximum displacement response of the sloped rolling-type seismic isolators (SRI) exceeding the design value and causing a collision when a large earthquake occurs, a higher damping force is a conventional solution. However, higher damping force may cause the acceleration response of the SRI over-amplified under small and moderate earthquakes. A previous study attempted to install a piezoelectric actuator in the SRI, so as to accord the SRI a variable damping function. That is, the actuator can change the damping force of the SRI according to seismic characteristics in real time. The correlation between the maximum displacement response of SRI and seismic characteristic parameters has been discussed in the previous study. The results indicated that the correlation between the peak ground velocity (PGV) and the maximum displacement response of SRI is the best among the studied seismic characteristic parameters. This study uses the information of the first few seconds after the arrival of primary wave to train an artificial neural network (ANN) model for predicting PGV. The control law to control the damping force according to PGV is also established. Therefore, the required damping force of a coming earthquake can be predicted a few seconds after the arrival of primary wave. The effects of the uncertainty in PGV prediction on the performance of semi-active control of the SRI are also studied. In addition, the performance of semi-active control of the SRI using the PGV predicted at different seconds after the arrival of primary wave is also studied.

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