Jet noise prediction using RANS CFD input
Jet noise prediction using RANS CFD input
复制标题
使用 RANS CFD 输入进行喷射噪声预测
DOI：
10.1121/1.2935559
复制
发表时间：
2008
影响因子：
2.4
通讯作者：
E. Manoha
中科院分区：
文献类型：
--
作者：
M. Omais;S. Redonnet;B. Caruelle;E. Manoha
在目前的工作中，一个体积源模型的基础上SNGR的方法，首先提出了贝利，已经实施和发展的喷气噪声预测的目的。该方法的优点是通过RANS计算提供非定常三维湍流数据，应与工业开发过程兼容。首先，重新审视了原始SNGR模型的理论方面。更具体地说，分析的发展表明，需要进行相当大的修改，以考虑局部流动的影响，同时产生非定常湍流数据。此外，在模型中包括各向异性效应的方式，如最初提出的Billson，通过使用Boussinesq近似的非线性扩展恢复局部雷诺应力张量进行了改进。在第二步中，对现有的数值和实验数据库的喷气噪声模拟的随机工具的潜力进行了评估。除此之外，它的敏感性还...
In the present work, a volume source model based on the SNGR approach, first proposed by Bailly, has been implemented and developed for jet noise prediction purposes. This method presenting the advantage of providing unsteady three‐dimensional turbulent data from a RANS computation, it shall be compatible with industrial development processes. First, the theoretical aspects of the original SNGR model were revisited. More particularly, analytical developments showed that considerable modifications were needed to take local flow effects into account while generating unsteady turbulent data. Moreover, the way to include anisotropy effects in the model, as originally proposed by Billson, was improved by using a nonlinear extension of Boussinesq approximation to recover the local Reynolds stress tensor. In a second step, the potentialities of the stochastic tool for jet noise simulations have been evaluated against existing numerical and experimental databases. In addition to that concern, its sensitivity to a...