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A TensorFlow-based new high-performance computational framework for CFD

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Abstract

In this study, a computational framework in the field of artificial intelligence was applied in computational fluid dynamics (CFD) field. This Framework, which was initially proposed by Google AI department, is called “TensorFlow”. An improved CFD model based on this framework was developed with a high-order difference method, which is a constrained interpolation profile (CIP) scheme for the base flow solver of the advection term in the Navier-Stokes equations, and preconditioned conjugate gradient (PCG) method was implemented in the model to solve the Poisson equation. Some new features including the convolution, vectorization, and graphics processing unit (GPU) acceleration were implemented to raise the computational efficiency. The model was tested with several benchmark cases and shows good performance. Compared with our former CIP-based model, the present TensorFlow-based model also shows significantly higher computational efficiency in large-scale computation. The results indicate TensorFlow could be a promising framework for CFD models due to its ability in the computational acceleration and convenience for programming.

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Acknowledgements

This work was supported by the Natural Science Foundation of Zhejiang Provincial (Grant No. LR16E090002), the Fundamental Research Funds for the Central Universities (Grant No. 2018QNA4041), Blue Bay Renovation Project of Pingtan Comprehensive Pilot Zone, the Bureau of Science and Technology of Zhoushan (Grant No. 2018C81040), the HPC Center OF ZJU (Zhoushan Campus) and the Tang scholar.

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Authors and Affiliations

  1. Ocean College, Zhejiang University, Zhoushan, 316021, China

    Xi-zeng Zhao, Tian-yu Xu, Zhou-teng Ye & Wei-jie Liu

  2. The Engineering Research Center of Oceanic Sensing Technology and Equipment, Ministry of Education, Zhejiang University, Zhoushan, 316021, China

    Xi-zeng Zhao

Authors
  1. Xi-zeng Zhao
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  2. Tian-yu Xu
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  3. Zhou-teng Ye
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  4. Wei-jie Liu
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Corresponding author

Correspondence to Wei-jie Liu.

Additional information

Project supported by the National Natural Science Foundation of China (Grant No. 51679212, 51979245).

Biography: Xi-zeng Zhao (1979-), Male, Ph. D., Professor

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Zhao, Xz., Xu, Ty., Ye, Zt. et al. A TensorFlow-based new high-performance computational framework for CFD. J Hydrodyn 32, 735–746 (2020). https://doi.org/10.1007/s42241-020-0050-0

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  • DOI: https://doi.org/10.1007/s42241-020-0050-0

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