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GPU CABARET Flow and Noise Solutions of an Installed Jet Configuration

机译:机GPU呼啸流量和安装喷射配置的噪声解决方案

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The GPU-CABARET method in the Wall Modelling LES (WMLES) version has been systematically tested on the NASA wall-mounted hump problem and then applied for flow and noise simulations corresponding to the SYMPHONY jet installation noise experiment. The jet installation case corresponds to a complete jet-pylon-wing-flap configuration including the fuselage body. For far-field noise predictions, the Ffowcs Williams - Hawkings method based on multiple penetrable control surfaces is used. In comparison with the conventional isolated jet noise problem, it is shown that the design of acoustic control surfaces for the installed case needs a special consideration in order to include all important jet-pylon-flap-interaction noise sources and needs additional averaging across several control surfaces to remove the pseudo sound effects. The complete LES model of the jet installation noise includes 243 Million cells and is run for 8.5 days on 4 high-end GPU cards (2 home-office-style workstations) to obtain 600 convective time units of the signal time. The obtained acoustic predictions are compared with the data for the same jet installation noise case digitized from the literature.
机译:在NASA壁挂式驼峰问题上系统地测试了墙上建模LES(WMLES)版本的GPU-Cabaret方法,然后应用于对应于交响机喷射安装噪声实验的流量和噪声模拟。喷射装置壳体对应于包括机身主体的完整喷射幽门 - 翼片配置。对于远场噪声预测,使用了基于多个可渗透控制表面的FFOCS Williams - Hawkings方法。与传统的隔离射流问题相比,示出了用于所安装的壳体的声学控制表面的设计需要特殊考虑,以便包括所有重要的喷射幽门 - 翼片交互噪声源,并且需要跨多个控制的额外平均值曲面以消除伪音效。喷气机安装噪声的完整LES模型包括24300万个单元格,并在4个高端GPU卡(2个家庭办公室风格工作站)上运行8.5天,以获得信号时间的600个对流时间单位。将获得的声学预测与从文献中数字化的相同喷射安装噪声箱的数据进行比较。

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