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The Ability of a Weakly Compressible Solver to Predict Landing Gear Noise with Flow-Acoustic Interactions

机译:弱可压缩解算器通过流-声相互作用预测起落架噪声的能力

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The ability of a weakly compressible solver to solve landing gear noise with flow-acoustic coupling is investigated. Traditionally compressible flow solvers are used to simulate flow-acoustic coupling. However, compressible solvers require greater computational resources compared to incompressible solvers at low Mach numbers such as an aircraft on approach to landing. While incompressible solvers are able to capture the steady aerodynamics, in this work, their inability to capture the correct wall pressure spectra and far-field acoustics is demonstrated for a relatively simple two wheel landing gear, i.e. the LAGOON (Landing Gear Noise database for CAA validation) #1 geometry. This is due to the inability of incompressible solvers to capture cavity resonances, which are important contributors to not only tonal but also broadband noise. This is significant for landing gear noise predictions. A weakly compressible solver is tested to determine its ability to resolve the flow-acoustic coupling for a low Mach number flow. This solver has a similar computational cost to an incompressible solver. The simulations are performed using a weakly compressible solver added to OpenFOAM with a one-equation Large-Eddy Simulation model. An incompressible simulation of the same configuration is also performed for comparison. Results shows that the weakly compressible solver can correctly solve the resonant tonal and broadband noise that are absent in the solution from the incompressible solver. The weakly compressible solver maintains similar behaviour in predicting the time-averaged and root-mean-square flow variables. A grid sensitivity study is also included, and consistency is compared between the two meshes of different resolutions for both near-field pressure fluctuations and far-field acoustics. The computational cost of the weakly compressible method for landing gear simulations is slightly less than the incompressible solver and significantly less than other fully compressible Navier-Stokes solvers.
机译:研究了弱可压缩求解器通过流-声耦合解决起落架噪声的能力。传统上,可压缩的流量求解器用于模拟流-声耦合。但是,与低马赫数下的不可压缩求解器(例如飞机着陆时)相比,可压缩求解器需要更多的计算资源。尽管不可压缩求解器能够捕获稳定的空气动力学特性,但在这项工作中,对于相对简单的两轮起落架,即LAGOON(CAA的起落架噪声数据库),证明了其无法捕获正确的壁压谱和远场声学验证)#1几何。这是由于不可压缩的求解器无法捕获腔共振,这不仅是音调的重要贡献,也是宽带噪声的重要贡献。这对于起落架噪声预测非常重要。测试了弱可压缩求解器以确定其解决低马赫数流的流-声耦合的能力。该求解器的计算成本与不可压缩的求解器相似。使用添加到OpenFOAM的弱可压缩求解器和一方程式大涡模拟模型执行模拟。为了比较,还执行了相同配置的不可压缩模拟。结果表明,弱可压缩求解器可以正确地解决不可压缩求解器在解决方案中所缺少的共振音调和宽带噪声。在预测时间平均流量和均方根流量变量时,弱可压缩求解器保持类似的行为。还包括网格灵敏度研究,并且针对近场压力波动和远场声学,比较了不同分辨率的两个网格之间的一致性。用于起落架模拟的弱压缩方法的计算成本略低于不可压缩的求解器,并且远低于其他完全可压缩的Navier-Stokes求解器。

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