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Aerodynamic/Acoustic Splitting Technique for Computational Aeroacoustics Applications at Low Mach Numbers

机译:低马赫数的计算航空声学应用中的空气动力学/声分裂技术

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Hybrid computational aeroacoustics applications approaches, in which the computational domain is split into an aerodynamic source domain and an acoustic propagation region, are commonly used for aeroacoustic engineering applications and have proven to be of acceptable efficiency and accuracy. The different coupling techniques tend to give erroneous results for a number of applications, which are mainly encountered in confined environments. Acoustic analogies are inaccurate if the acoustic variables are of the same order of magnitude as the flow variables, and an acoustic continuation of the source-domain simulation using the latter solution as acoustic boundary conditions is only possible if no vortical outflow is occurring. These inaccuracies can be avoided by using appropriate filtering techniques in which the source-domain solution is split into an acoustic and an aerodynamic fluctuating part. In this paper, such an aerodynamic/acoustic splitting technique is developed and validated for some simple test cases. The filtering method is valid for low-Mach-number applications, assuming that all compressibility effects are caused by the irrotational acoustic field and that the incompressible aerodynamic field is responsible for the vortical movement of the flowfield. Under these assumptions, it is shown that the aerodynamic and acoustic fields at every time step are obtained by solving a system of Poisson equations driven by the fluctuating expansion ratio and vorticity, obtained from the source-domain simulation. For hybrid computational aeroacoustics applications approaches, this filtering technique, generally applicable for both free-field and confined-flow applications, provides more accurate coupling information and improves the knowledge of aerodynamic-noise-generating mechanisms.
机译:将计算域划分为空气动力源域和声传播区域的混合计算航空声学应用方法通常用于航空声学工程应用,并已被证明具有可接受的效率和准确性。对于许多应用,不同的耦合技术往往会给出错误的结果,这通常是在受限环境中遇到的。如果声学变量与流量变量具有相同的数量级,则声学模拟是不准确的,并且仅当没有涡旋流出发生时才可以使用后一种解决方案作为声学边界条件进行源域模拟的声学延续。这些不准确性可以通过使用适当的滤波技术来避免,其中将源域解决方案分为声学和空气动力学波动部分。在本文中,针对某些简单的测试案例开发并验证了这种空气动力/声学分离技术。假定所有可压缩性效应都是由非旋转声场引起的,并且不可压缩的空气动力场是流场涡旋运动的原因,则该滤波方法对于低马赫数应用是有效的。在这些假设下,表明通过解决由源域模拟获得的由涨落比和涡度波动驱动的泊松方程组,可以获得每个时间步长的空气动力场和声场。对于混合计算的航空声学应用方法,此过滤技术通常适用于自由场和密闭流动应用,可提供更准确的耦合信息,并提高了空气动力学噪声产生机制的知识。

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