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    Title: 應用白噪音間接強制振動於橋面版之耦合顫振導數系統識別
    Other Titles: Indentification of coupled flutter derivatives of bridge decks by white-noise forced oscillation method
    Authors: 莊鎮宇;Juang, Jeng-yu
    Contributors: 淡江大學土木工程學系碩士班
    吳重成;Wu, Jong-cheng
    Keywords: 橋樑;顫振導數;氣動力阻尼;白噪音間接強制振動;氣彈互制;基因演算法;Bridge;Flutter Derivatives;Aerodynamic Damping;White-Noise Forced Vibration;aeroelasticity;Genetic Algorithm
    Date: 2007
    Issue Date: 2010-01-11 05:24:37 (UTC+8)
    Abstract: 顫振(Flutter)現象為橋梁受風載所產生之一種氣彈互制行為。傳統上,橋梁顫振導數(Flutter Derivative)之識別採自由振動方式,但其實驗結果常受週遭試驗環境影響,而且將自由振動頻率當成外力擾動頻率亦會造成結果上之誤差。為克服上述缺點,本研究使用間接式強制振動的實驗方式,研擬一套新的顫振導數識別方法。首先由伺服馬達給予振動平台強制振動,透過彈簧擾動橋面板斷面結構模型,然後量測其在平滑流場下之氣彈互制反應。
    實驗流程分為非耦合顫振導數識別與耦合顫振導數識別,均藉由氣彈互制反應之轉換函數實驗值與理論值比較,在頻率域以曲線擬合最佳化識別出理論式中最佳參數,最後得到橋梁之顫振導數。其中於理論部分引用狀態空間方程式之觀念進行推導,而最佳化過程則引用基因演算法(Genetic Algorithm) 求解,以確保得到全域最佳解。
    本論文以寬深比為27之削角流線型平板斷面模型為例,使用淡江大學土木系風洞實驗室進行上述識別實驗,結果顯示所識別得之顫振導數頗具一致性,而且其值相當接近Theodorsen函數所描述之理想平板理論值,顯示間接式強制振動新識別法能可靠識別顫振導數。
    Flutter is one of the aero-elastic behaviors in the wind-induced motion of bridges. The conventional approach for identifying flutter derivatives of bridges is to use the free vibration method which has disadvantages, such as lack of consistency due to high sensitivity of free vibration responses to the test condition/environment, and the error inherited by treating free vibration frequency as excitation frequency. To overcome these shortcomings, this thesis presents a new identification approach by utilizing indirect forced actuation in cooperation with wind tunnel tests. In the experiment setup, the bridge section model is connected to a two-axis actuating device through serial connection of springs. Under the excitation of the actuation device and smooth wind flow, the aero-elastic response of the section model is thus measured.
    The identification scheme proposed is composed of two parts, one is for uncoupled flutter derivatives and the other is for couple ones. By comparing the frequency response function of aero-elastic responses with the theoretical values that are derived based on state space equation theory, the optimal parameters involved in the theoretical formula can be determined by using curve-fitting optimization which employs the Genetic Algorithm (GA) in the searching process to ensure achieving global optimum.
    For demonstration of this approach, the bridge section model of a chamfered plate with a width/depth ratio of 27 was used for identification in the wind tunnel tests, and the results were successfully obtained. The identified flutter derivatives were shown to be fairly consistent and close to the theoretical values in the perfect flat plate, which can be derived from the Theodorsen functions. Therefore, it is concluded that the indirect forced vibration approach is a reliable method for identifying bridge flutter derivatives.
    Appears in Collections:[Graduate Institute & Department of Civil Engineering] Thesis

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