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Investigation of dispersion-relation-preserving scheme and spectral analysis methods for acoustic waves

机译:声波的色散相关保持方案和频谱分析方法研究

摘要

Important characteristics of the aeroacoustic wave propagation are mostly encoded in their dispersion relations. Hence, a computational aeroacoustic (CAA) algorithm, which reasonably preserves these relations, was investigated. It was derived using an optimization procedure to ensure, that the numerical derivatives preserved the wave number and angular frequency of the differential terms in the linearized, 2-D Euler equations. Then, simulations were performed to validate the scheme and a compatible set of discretized boundary conditions. The computational results were found to agree favorably with the exact solutions. The boundary conditions were transparent to the outgoing waves, except when the disturbance source was close to a boundary. The time-domain data generated by such CAA solutions were often intractable until their spectra was analyzed. Therefore, the relative merits of three different methods were included in the study. For simple, periodic waves, the periodogram method produced better estimates of the steep-sloped spectra than the Blackman-Tukey method. Also, for this problem, the Hanning window was more effective when used with the weighted-overlapped-segment-averaging and Blackman-Tukey methods gave better results than the periodogram method. Finally, it was demonstrated that the representation of time domain-data was significantly dependent on the particular spectral analysis method employed.
机译:航空声波传播的重要特征大多以其色散关系进行编码。因此,研究了合理保留这些关系的计算航空声学(CAA)算法。它是使用优化程序推导的,以确保数值导数在线性化的二维Euler方程中保留微分项的波数和角频率。然后,进行仿真以验证该方案和一组兼容的离散边界条件。计算结果与精确解吻合良好。边界条件对于输出波是透明的,除非干扰源靠近边界。由此类CAA解决方案生成的时域数据通常难以处理,直到对其光谱进行分析为止。因此,本研究包括三种不同方法的相对优点。对于简单的周期性波,与Blackman-Tukey方法相比,周期图方法可以更好地估计陡峭的光谱。同样,对于此问题,当与加权重叠段平均一起使用时,Hanning窗口更有效,Blackman-Tukey方法比周期图方法提供更好的结果。最后,证明了时域数据的表示很大程度上取决于所采用的特定频谱分析方法。

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