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首页> 外文期刊>Communications in numerical methods in engineering >Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices
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Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices

机译:使用基尔霍夫涡旋的随机分布,产生稳定剂/ s /和/ z /的有限元

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摘要

The numerical simulation of sibilant sounds in three-dimensional realistic vocal tracts constitutes a challenging problem because it involves a wide range of turbulent flow scales. Rotating eddies generate acoustic waves whose wavelengths are inversely proportional to the flow local Mach number. If that is low, very fine meshes are required to capture the flow dynamics. In standard hybrid computational aeroacoustics (CAA), where the incompressible Navier-Stokes equations are first solved to get a source term that is secondly input into an acoustic wave equation, this implies resorting to supercomputer facilities. As a consequence, only very short time intervals of the sibilant can be produced, which may be enough for its spectral characterization but insufficient to synthesize, for instance, an audio file from it or a syllable sound. In this work, we propose to substitute the aeroacoustic source term obtained from the computational fluid dynamics (CFD) in the first step of hybrid CAA, by a random distribution of Kirchhoff's spinning vortices, located in the region between the upper incisors and the lower lip. In this way, one only needs to solve a linear wave equation to generate a sibilant, and therefore avoids the costly large-scale computations. We show that our proposal can recover the outcomes of hybrid CAA simulations in average, and that it can be applied to generate sibilants /s/ and /z/. Modeling and implementation details of the Kirchhoff vortex distribution in a stabilized finite element code are discussed in the paper, as well as the outcomes of the simulations.
机译:三维逼真的声道中的柔和声音的数值模拟构成一个挑战性的问题,因为它涉及各种湍流尺度。旋转涡流产生的声波的波长与流动局部马赫数成反比。如果该值很低,则需要非常细的网格来捕获流动力学。在标准混合计算航空声学(CAA)中,首先求解不可压缩的Navier-Stokes方程,以获取源项,然后将该源项输入到声波方程中,这意味着需要使用超级计算机设施。结果,只能产生很短的时间间隔,这足以满足其频谱特征,但不足以合成例如声音文件或音节声音。在这项工作中,我们建议用位于上门齿和下唇之间区域的基尔霍夫旋转涡流的随机分布来代替混合CAA第一步中从计算流体动力学(CFD)获得的空气声源项。 。这样,仅需求解线性波动方程即可生成稳定剂,从而避免了昂贵的大规模计算。我们表明,我们的建议可以平均地恢复混合CAA模拟的结果,并且可以将其应用于生成助词/ s /和/ z /。本文讨论了稳定有限元代码中Kirchhoff涡旋分布的建模和实现细节,以及仿真结果。

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