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arXiv 2302.03370math.NAcs.NAmath-phmath.MP
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一种用于气动声学问题的混合有限体积–谱元方法

A hybrid finite volume -- spectral element method for aeroacoustic problems

Alberto Artoni, Paola F. Antonietti, Ilario Mazzieri, Nicola Parolini, Daniele Rocchi

AI总结:

本文提出 FV 与 SEM 混合的气动声学模拟方法,通过离线几何交集投影声源项,并结合 OpenFOAM 与 SPEED 验证其精度、可扩展性及高阶求解效果。

摘要:

我们提出一种混合有限体积(FV)–谱元方法(SEM),用于基于 Lighthill 声类比的气动声学现象建模。首先采用 FV 方法计算流体解。随后,将声源项投影到声学网格上,并采用 SEM 求解非齐次 Lighthill 波动方程。这种新颖的投影方法通过离线计算声学网格与流体网格之间的交集来保持精度。所提出的交集算法被证明具有鲁棒性、可扩展性,并能够高效计算任意多面体单元的几何交集。随后,我们分析了投影误差的性质,表明如果流体网格足够精细,我们就能够利用声学求解器的精度,并通过数值方式评估所得的理论估计。最后,我们处理两个相关的气动声学基准问题,即同向旋转涡对以及方柱周围层流诱发的噪声,以实际证明该投影方法在配合高阶求解器时的有效性。流动计算使用 OpenFOAM [46](一个开源有限体积库)完成,而非齐次 Lighthill 波动方程则使用 SPEED [31](一个开源谱元库)求解。

英文摘要:

We propose a hybrid Finite Volume (FV) - Spectral Element Method (SEM) for modelling aeroacoustic phenomena based on the Lighthill's acoustic analogy. First the fluid solution is computed employing a FV method. Then, the sound source term is projected onto the acoustic grid and the inhomogeneous Lighthill's wave equation is solved employing the SEM. The novel projection method computes offline the intersections between the acoustic and the fluid grids in order to preserve the accuracy. The proposed intersection algorithm is shown to be robust, scalable and able to efficiently compute the geometric intersection of arbitrary polyhedral elements. We then analyse the properties of the projection error, showing that if the fluid grid is fine enough we are able to exploit the accuracy of the acoustic solver and we numerically assess the obtained theoretical estimates. Finally, we address two relevant aeroacoustic benchmarks, namely the corotating vortex pair and the noise induced by a laminar flow around a squared cylinder, to demonstrate in practice the effectiveness of the projection method when dealing with high order solvers. The flow computations are performed with OpenFOAM [46], an open-source finite volume library, while the inhomogeneous Lighthill's wave equation is solved with SPEED [31], an opensource spectral element library.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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