近年來，有許多結構物因受到地震的侵襲下而產生嚴重的損壞，結構物耐震補強因此備受重視，然而，目前仍有許多危老建築將面臨地震的挑戰，所以為了防範地震造成建物主要結構構件的破壞，消能與隔震裝置的補強與裝設是目前最常出現的解決方案，例如:隔震與制震大樓的興起，為了確保這些消能裝置能夠達到結構物減震與隔震之效果，於是採用振動台實驗作為驗證是最有效的方法，然而真實結構物過於龐大，僅能以縮尺模型替代，並不能完整呈現結構物之動態行為。此時，則突顯了擬動態實驗的重要性，而為了使加載速率更接近真實結構系統之反應，前人提出與振動台系統結合之技術，稱為「即時振動台複合實驗」。本文將使用記憶體共享光纖網路設備，結合即時振動台複合實驗之技術，建立一套SCRAMNet數位式硬體模擬試驗架構，並對於即時振動台複合實驗誤差進行階段性之探討，目前僅能對於即時振動台複合實驗之主結構控制誤差進行評估，其中將會使用到OKID/ERA識別方法以建立振動台系統之識別模型，未來當SCRAMNet相關軟硬體設備結合於振動台系統控制與集錄之技術發展成熟後，即可應用此架構進行更深入的誤差探討。

In recent years, many buildings have been seriously damaged by the earthquake excitation. To prevent the damage of the major structural components of the building caused by the seismic events, installation of energy-dissipating devices or isolators is the most common solutions. To ensure the effectiveness of these energy-dissipating devices to mitigate the vibrational response of buildings, shaking table test (STT) is an appropriate method for verification. However, limited by the payload of a shaking table and the scale-down effect of a specimen, it is impossible to fully illustrate the dynamic responses of a real structural system under seismic events. A hybrid testing technique that combines with a shaking table and the numerical model of the main structure is proposed and called real-time hybrid testing with a shake table (RTHT-ST). In this thesis, a digital hardware simulation test framework employed with the shared memory fiber-optic network apparatus link (SCRAMNet) is proposed. The advantage of this framework is to evaluate the possible error sources regarding the results between numerical simulations, RTHT-ST, and STT. Furthermore, it can ensure the feasibility and provide the fail-safe estimation of the experimental facilities. Especially, it can be applied to discuss the error between RTHT-ST and STT in detail by comparing with the traditional analog (A/D-D/A) hardware simulation framework. In the future, when the development of SCRAMNet-based software/hardware interface is mature enough, this digital hardware simulation framework can be applied for more in-depth error investigation.

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