基于Wale亚网格尺度模型的人体发声气动声学模拟

P. Šidlof, M. Lasota
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摘要

本文报道了一种基于大涡流模拟的人喉部声音产生的气动声学模型,该模型采用自适应壁面局部涡流黏度(WALE)亚网格尺度(SGS)模型。模拟采用了三步混合方法,其中不可压缩有限体积CFD计算提供了过滤后的速度和压力,评估了气动声源,并通过声学扰动方程的有限元离散化模拟了声音传播。WALE SGS模型克服了经典Smagorinski SGS模型在高剪切区域,特别是在声门收缩的边界层内,对SGS黏度预测过高的局限性。给出了三维CFD模拟结果、声源位置和两个元音的辐射声谱。扩散项空间离散化的中心差分有限体积法。基于逆风的方案具有较高的数值扩散,因此不推荐用于LES研究。采用总变差递减格式实现对流项的空间离散化,结合一阶格式的优点保持稳定性和二阶格式的优点提高精度。时间离散采用两步二阶倒推格式实现。模拟在一个计算集群的16个处理器上并行运行20个周期的声带振动,即T = 0。2秒,花了大约480个小时的时间。时间步长由自动算法调整,以使Courant数低于预定义的限制(这里为Co < 1)。_______________________________________________________________________
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Aeroacoustic Simulation of Human Phonation with the Wale Sub-Grid Scale Model
The paper reports on an aeroacoustic model of voice generation in human larynx, based on Large Eddy Simulation with the Wall-Adapting Local Eddy-Viscosity (WALE) sub-grid scale (SGS) model. The simulation uses a three-step hybrid approach, with an incompressible finite volume CFD computation providing the filtered velocity and pressure, evaluation of the aeroacoustic sources, and simulation of the sound propagation by finite element discretization of the Acoustic Perturbation Equations. The WALE SGS model is used to overcome the limitation of the classical Smagorinski SGS model, which overpredicts the SGS viscosity in regions of high shear, especially within the boundary layer in the glottal constriction. Results of the 3D CFD simulation, location of the aeroacoustic sources and the spectra of the radiated sound for two vowels are presented. finite volume method with central differencing scheme for the spatial discretization of the diffusion term. The upwind-based schemes bring high numerical diffusion and hence they are not recommended in LES studies. The spatial discretization of the convective term is realized using the total variation diminishing scheme, combining benefits from first order schemes to keep stability and second order schemes for high accuracy. The temporal discretization is realized using the two-step second-order backward scheme. The simulation was run in parallel on 16 processors of a computational cluster for twenty periods of vocal fold vibration, i.e. T = 0 . 2 s, and took about 480 hours of walltime. The timestep was adjusted by an automatic algorithm to keep the Courant number below a predefined limit, here Co < 1. _______________________________________________________________________
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Aeroacoustic Simulation of Human Phonation with the Wale Sub-Grid Scale Model
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