On the use of recurrent neural networks for predictions of turbulent flows

Guastoni L, Srinivasan PA, Azizpour H, Schlatter P, Vinuesa R (2019)

Publication Type: Conference contribution

Publication year: 2019

Publisher: International Symposium on Turbulence and Shear Flow Phenomena, TSFP

Conference Proceedings Title: 11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2019

Event location: Southampton, GBR

Abstract

In this paper, the prediction capabilities of recurrent neural networks are assessed in the low-order model of near-wall turbulence by Moehlis et al. (New J. Phys. 6, 56, 2004). Our results show that it is possible to obtain excellent predictions of the turbulence statistics and the dynamic behavior of the flow with properly trained long short-term memory (LSTM) networks, leading to relative errors in the mean and the fluctuations below 1%. We also observe that using a loss function based only on the instantaneous predictions of the flow may not lead to the best predictions in terms of turbulence statistics, and it is necessary to define a stopping criterion based on the computed statistics. Furthermore, more sophisticated loss functions, including not only the instantaneous predictions but also the averaged behavior of the flow, may lead to much faster neural network training.

Authors with CRIS profile

Philipp Schlatter

Involved external institutions

Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH) SE Sweden (SE)

How to cite

APA:

Guastoni, L., Srinivasan, P.A., Azizpour, H., Schlatter, P., & Vinuesa, R. (2019). On the use of recurrent neural networks for predictions of turbulent flows. In 11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2019. Southampton, GBR: International Symposium on Turbulence and Shear Flow Phenomena, TSFP.

MLA:

Guastoni, Luca, et al. "On the use of recurrent neural networks for predictions of turbulent flows." Proceedings of the 11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2019, Southampton, GBR International Symposium on Turbulence and Shear Flow Phenomena, TSFP, 2019.

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