ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Application of GPU⁃accelerated high⁃order spectral difference method in fan noise
Received date: 2023-04-28
Revised date: 2023-05-17
Accepted date: 2023-06-16
Online published: 2023-06-27
Supported by
National Key Research and Development Project(2018YFA0703300);National Science and Technology Major Project(J2019-II-0006-0026);National Natural Science Foundation of China(NSFC-51876003)
The fan is one of the main noise sources of the large bypass turbofan engine， and accurate prediction of fan noise is of great significance for acoustic design and noise mechanism analysis. High-precision computational aeroacoustic methods are an important approach to fan noise calculation， where， however， their application is limited due to the enormous computational resource requirements. This paper applies GPU-accelerated computing methods to a high-order spectral difference computational aeroacoustic solver， tests and optimizes different GPU/CPU heterogeneous computing modes， and analyzes the bottlenecks affecting heterogeneous computing efficiency. Test results on a single A100 GPU card show that the GPU computational speed-up ratios are 20.4 and 14.0 for stationary and rotating grids， respectively， compared with a dual-CPU 28-core computing node. Finally， this paper applies the GPU-accelerated computational aeroacoustic solver to the numerical simulation of low-speed fan noise， accurately predicting the dominant modes of the first two orders of Blade Passage Frequency （BPF） in the duct. Compared with the experimental results， the error in the modal sound power level is within 5 dB.
Key words： GPU; heterogeneous computing; fan noise; spectral difference method; turbomachinery
Dongfei ZHANG , Junhui GAO . Application of GPU⁃accelerated high⁃order spectral difference method in fan noise[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(8) : 128941 -128941 . DOI: 10.7527/S1000-6893.2023.28941
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