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Towards the computation of aircraft engine fan noise generation with high order methods on GPUs

机译:在GPU上采用高阶方法进行飞机发动机风扇噪声产生的计算

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The present paper considers the computation of noise generation by aircraft engine fan with the in-house solver for graphic processing units called GHOST CFD. The solver is based on Dispersion Relation Preserving schemes which have high order of approximation and high resolution. An Optimized Low Dispersion and Dissipation Runge-Kutta scheme was utilized for the time integration. Large Eddy Simulation based on Relaxation Filtering was used for the turbulence modeling. The solver implements overset ("CHIMERA") meshes which were used as rotor-stator interface treatment. The speedup gained from graphic processing units utilization was about 12-20 times compared to modern 8-core CPU, allowing to perform computations in a reasonable time period. The computations with GHOST CFD were performed in full annulus formulation with fan and outlet guide vane blades. The results were compared with the experimental data as well as the results of similar computations in the commercial ANSYS CFX solver some of which also included inlet guide vane blades.
机译:本文考虑了使用用于图形处理单元GHOST CFD的内部求解器来计算飞机发动机风扇产生的噪声。求解器基于色散关系保留方案,该方案具有较高的逼近度和高分辨率。优化的低色散和耗散Runge-Kutta方案用于时间积分。基于松弛滤波的大涡模拟用于湍流建模。该求解器实现了用作转子-定子界面处理的过冲(“ CHIMERA”)网格。与现代的8核CPU相比,图形处理单元的利用率提高了大约12到20倍,从而可以在合理的时间内执行计算。使用GHOST CFD进行的计算是在带有风机和出口导向叶片的全环空条件下进行的。将结果与实验数据以及商用ANSYS CFX求解器中的类似计算结果进行了比较,其中一些还包括入口导流叶片。

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