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Validation of Overset Discontinuous Galerkin and Hybrid RANS/LES Method for Jet Noise Prediction

机译:过度不连续伽勒金和混合RANS / LES方法在喷气噪声预测中的验证

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Launch vehicles experience extreme acoustic loads during lift-off which are capable of damaging sensitive mechanical components of the vehicle and pay load, and may lead to significant injury in passengers. The noise is driven by the exhaust plumes and their interaction with ground structures, and accurate prediction of this environment poses several unique challenges when compared to traditional jet noise modeling techniques. In particular, acoustic and Mach waves propagating from the exhaust plume are in the vicinity of obstructions and are generally in the nonlinear regime, which renders the classical acoustic analogy and linearized approaches invalid. This work continues the development of a recently introduced novel approach for the accurate prediction of lift-off acoustic environments. The method makes use of unstructured hybrid RANS/LES models to predict the complex exhaust plume physics, and an overset high-order accurate discontinuous Galerkin solver to accurately propagate acoustic waves across large distances throughout the environment. The framework upon which the solvers are developed is described along with details outlining the overset grid assembly and interpolation methods. Detailed validation studies are presented to demonstrate the accuracy of the method for prediction of noise due to the impingement of a supersonic jet on a 45 degree inclined flat plate, and comparisons with experimental data show the method to be effective and accurate in terms of predicted overall sound pressure level spectra.
机译:运载火箭在起飞时承受极大的声学载荷,这会损坏运载工具的敏感机械部件并承担载荷,并可能对乘客造成重大伤害。噪声是由排气羽流及其与地面结构的相互作用所驱动的,与传统的喷气噪声建模技术相比,对这种环境的准确预测提出了许多独特的挑战。特别地,从排气羽流传播的声波和马赫波在障碍物附近,并且通常处于非线性状态,这使得经典的声类比和线性化方法无效。这项工作继续了最近推出的新颖方法的发展,该方法可以准确预测升空声环境。该方法利用非结构化混合RANS / LES模型来预测复杂的废气羽流物理特性,并使用高位高阶精确不连续Galerkin解算器来在整个环境中跨大距离精确传播声波。描述了开发求解器所依据的框架,以及概述过大的网格装配和插值方法的详细信息。提出了详细的验证研究以证明该方法的预测准确性,该方法是由于超声速射流撞击45度倾斜平板而产生的噪声,并且与实验数据的比较表明,该方法在预测总体上是有效且准确的声压级谱。

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