【摘要】：采用計算流體動力學(xué)(CFD)方法,在恒定大攻角工況下,對風(fēng)力機(jī)翼型的非定常流場進(jìn)行數(shù)值模擬,并采用動力模態(tài)分解(DMD)方法對其模態(tài)進(jìn)行辨識,以得到非定常流場的頻率和相應(yīng)的主要模態(tài).結(jié)果表明:DMD方法可用于分析非定常流場的變化過程;DMD的各階模態(tài)描述了非定常流場的主要流動特征,流場中非定常流動主要集中在近尾跡區(qū)域;采用包含主要流動信息的前4階模態(tài)重構(gòu)的流場能夠反映不同時刻的時域流場;第2階DMD模態(tài)重構(gòu)的流場可以直觀地描述尾跡區(qū)域內(nèi)2個方向相反的渦依次脫落并向下游傳播的非定常流動特征.
[Abstract]:The unsteady flow field of the wind wing is numerically simulated under the condition of constant angle of attack by using the computational fluid dynamics (CFD) method, and the modal identification of the unsteady flow field of the wind wing is carried out by using the dynamic mode decomposition (DMD) method. The frequency of the unsteady flow field and the corresponding main modes are obtained. The results show that the DMD method can be used to analyze the variation of unsteady flow field, and the main flow characteristics of unsteady flow field are described by DMD modes, and the unsteady flow in the flow field is mainly concentrated in the near wake region. The flow field with the first four modes including the main flow information can reflect the time domain flow field at different times. The flow field of the second order DMD modal reconstruction can directly describe the unsteady flow characteristics of two opposite vortices in the wake region which shedding in turn and propagating downstream.
【作者單位】： 上海交通大學(xué)機(jī)械與動力工程學(xué)院;上海飛機(jī)制造有限公司理化計量中心;
【基金】：國家自然科學(xué)基金項(xiàng)目(51506123)資助
【分類號】：O35

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1 裴利軍;邱本花;;模態(tài)分解法在非恒同耦合系統(tǒng)同步研究中的推廣[A];第十二屆全國非線性振動暨第九屆全國非線性動力學(xué)和運(yùn)動穩(wěn)定性學(xué)術(shù)會議論文集[C];2009年

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