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Towards Accurate Unsteady Real-Time Helicopter Aeroacoustic Analysis Using GPU-CUDA Accelerated Tools Acoustics Session

机译:使用GPU-CUDA加速工具进行准确的非稳态实时直升机航空声学分析

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With the constant pursuit for more fuel efficient and less noisy helicopters, there is a requirement for numerical tools capable of faster aerodynamic and acoustic analysis. This work describes the development of a new aeroacoustic framework that takes advantage of the CUDA (Compute Unified Device Architecture) framework, speeding up calculations by more than 2 orders of magnitude when compared with single thread CPU versions. The implemented framework is shown in detail and two different studies are presented to highlight the different capabilities. The first case study involves an unsteady analysis of an isolated MR (Main Rotor) where the speed and accuracy requirements are balanced, but mainly focused on maximizing the calculation speed. For the second case study a fully unsteady analysis of a coupled MR and TR (Tail Rotor) is performed to show the capability of the framework to carry out complex analysis in relatively short computational times.
机译:随着对高燃料效率和低噪声直升机的不断追求,需要一种能够进行更快的空气动力学和声学分析的数值工具。这项工作描述了一种新的航空声学框架的开发,该框架利用了CUDA(计算机统一设备架构)框架,与单线程CPU版本相比,可将计算速度提高2个数量级以上。详细显示了已实现的框架,并进行了两项不同的研究以突出不同的功能。第一个案例研究涉及对隔离的MR(主转子)的不稳定分析,在该分析中,速度和精度要求达到了平衡,但主要集中在最大化计算速度上。对于第二个案例研究,对耦合的MR和TR(尾桨)进行了完全不稳定的分析,以显示框架在相对较短的计算时间内进行复杂分析的能力。

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