智能空气动力学若干研究进展及展望

Some research progress and prospect of Intelligent Aerodynamics

  • 摘要: 智能空气动力学是人工智能与空气动力学的结合,融入了第四研究范式(数据驱动)的独特研究方法,已逐步发展成为一门独立的交叉学科。本文首先对智能空气动力学的概念和内涵进行了剖析,简述了智能空气动力学的主要研究方法,然后介绍了智能空气动力学在流场预测、转捩/湍流建模、多源数据融合、气动力/热建模、流场特征信息提取等方面研究进展及本团队开展的相关工作,最后展望了智能空气动力学的发展趋势和未来的研究设想。

     

    Abstract: Intelligent Aerodynamics (IA), a combination of artificial intelligence (AI) and aerodynamics that integrates the fourth research paradigm (Big Data), is growing to be a distinct cross-discipline. This paper first introduces IA's concept and connotation and sketches the main research methods. Secondly, the research progress and the work carried out in China Aerodynamics Research and Development Center (CARDC) are reviewed regarding AI-enhanced flow prediction, transition/turbulence modeling, multi-source data fusion, aerodynamic/aerothermal modeling, and extraction of critical flow-field information. Finally, the future research work and development trends of IA are prospected.

     

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