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中文核心期刊

快速随机粒子网格法的气动噪声预测方法

Computational aero-acoustics prediction method based on fast random particle mesh

  • 摘要: 耦合随机湍流速度生成模型与线化欧拉方程技术,形成了一套具备模拟噪声在非均匀流场中传播能力的气动噪声混合预测方法。该混合方法的随机湍流速度生成模型采用了快速随机粒子网格法,为声传播模拟提供了可靠的源项。而噪声的传播计算选用线化欧拉方程,其空间离散采用9点5阶的色散保持关系格式,时间推进选用了高精度大时间步长的6级4阶龙格库塔格式,远场边界应用了无分裂形式的理想匹配层边界条件。首先,选用高斯脉冲传播算例对线化欧拉方程的时空离散格式、远场无反射边界条件进行了验证分析。然后,计算分析各向同性湍流的空间相关性验证湍流速度生成模型的可靠性。最后,基于已搭建的气动噪声混合预测方法进行了30P30N三段翼缝翼噪声的计算分析。计算分析可知:监测点处功率谱密度曲线、噪声指向性等计算结果与参考文献结果取得了较好的一致性。数值计算结果表明所建立的气动噪声混合预测方法能有效预测二维复杂构型的气动噪声问题。

     

    Abstract: Coupled with stochastic turbulent velocity generation model and linear Euler equation, a hybrid computational aero-acoustics prediction method, which can simulate the noise propagation in non-uniform flow, has been set up. The random particle mesh method was used in the stochastic turbulent velocity generation model to provide reliable sound sources for the acoustic propagation equation. The linear Euler equation was applied in modeling the sound propagation. Dispersion-Relation-Preserving (DRP) scheme in spatial discretion together with high-accuracy large-step explicit Runge-Kutta (HALE-RK) scheme in time advancement were implemented. The far-field uses the non-split Perfect-Match-Layer (PML) boundary. Firstly, Gaussian-pulse propagation model was chosen to verify space-time discrete scheme and far-field boundary of the linear Euler equation. Next, the spatial correlation of isotropic turbulence was used to verify the turbulent velocity generation model. Finally, slat noise of 30P30N airfoil was calculated with the proposed hybrid method. The results show that the power spectral density curve and the noise directivity at monitoring points were well consistent with the results in the reference literature. Numerical results demonstrate that the hybrid prediction method could effectively predict the aero-acoustics of 2D complex geometry.

     

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