Prediction of pressure effect field based on ConvGRU-ODE

Luxiong Li; Xinkun Chu; Longxiang Jiang; Liyuan Wang; Hao Zhang

doi:10.1117/12.2674644

28 April 2023 Prediction of pressure effect field based on ConvGRU-ODE

Luxiong Li, Xinkun Chu, Longxiang Jiang, Liyuan Wang, Hao Zhang

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126261S (2023) https://doi.org/10.1117/12.2674644
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Numerical simulation is the default method for the study of shock wave evolution process, but it requires thousands of CPU cores and takes a long time for computation. Moreover, when the initial and boundary conditions change, the simulation needs to be recalculated. Therefore, numerical simulation cannot meet the needs of rapid evaluation and real-time display. In this paper, an encoder-decoder network structure based on ConvGRU-ODE is proposed to accelerate the simulation of shock wave evolution process, Given the experiment parameters, the proposed method can calculate the pressure effect field at each time by only using the calculation parameters. The algorithm only takes 120 seconds to calculate the shock wave evolution process of a single scene, which is significantly faster than the numerical simulation. The average relative error of pressure effect field in important areas is less than 10%, which is acceptable in engineering practice. The algorithm has good adaptability and can be applied to different scenes.

Citation Download Citation

Luxiong Li, Xinkun Chu, Longxiang Jiang, Liyuan Wang, and Hao Zhang "Prediction of pressure effect field based on ConvGRU-ODE", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126261S (28 April 2023); https://doi.org/10.1117/12.2674644

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