智能赋能流体力学展望

doi:10.7527/S1000-6893.2020.24689

Abstract

Abstract: Artificial Intelligence (AI) is an advanced technology in the 21 st century. For researchers in related fields, rejuvenation of fluid mechanics in the age of intelligence is worth consideration. This paper proposes intelligence empowered fluid mechanics, explaining and summarizing its meaning, important topics, research progress, and research difficulties. The future development of intelligent fluid mechanics is also discussed. The research points out that the data generated in computational fluid dynamics or experiments are inherently big data, and how to use these data through machine learning methods, like the deep neural network, random forest, and reinforcement learning, to alleviate or even replace the dependence on human brain is a new research paradigm; at the theoretical and methodological level, main research topics cover machine learning of the governing equations and turbulence modeling, the intellectualization of dimensional and scaling analysis, as well as numerical simulation; there is also an urge to develop the intellectualization of flow feature extraction and data fusion from multiple sources through AI; in this branch, data mining of flow dynamics and intelligent fusion of multi-source aerodynamic data are mainly included; moreover, the development of multidisciplinary and multiphysics modeling for fluid mechanics is in urgent need in many engineering applications, involving modeling of multi-field coupling problems, multi-disciplinary intelligent optimization design and adaptive flow control.

Key words: turbulence modeling, data fusion, feature extraction, flow control, Artificial Intelligence (AI)

CLC Number:

V211.1⁺5

ZHANG Weiwei, KOU Jiaqing, LIU Yilang. Prospect of artificial intelligence empowered fluid mechanics[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(4): 524689-524689.

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