| Presentation | 2022-03-09 [Invited Talk] --- Takahiro Tsukahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Turbulence of viscoelastic fluids, such as dilute polymer/surfactant solutions, is of practical importance, because it can significantly reduce its turbulent frictional drag relatively to the Newtonian counterpart. The viscoelastic stress due to the polymers or micelle networks induces elastic or elasto-inertial turbulence, even if the inertial turbulence is suppressed. To analyze the dynamics, direct numerical simulation (DNS) is required but it is difficult because the constitutive equation of viscoelastic-fluid model often suffers numerical instability. To address this issue, we construct a surrogate model of the constitutive equation using deep learning, a convolutional neural network (CNN) model “U-Net”, which is trained for viscoelastic turbulent channel flow. We verified the prediction accuracy of the conformation tensors and investigated the feasibility as a surrogate model. The statistical properties obtained from the DNS-CNN integrated simulation were in good agreement with those from the pure DNS. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep learning / turbulence / U-Net |
| Paper # | IBISML2021-41 |
| Date of Issue | 2022-03-01 (IBISML) |
| Conference Information | |
| Committee | IBISML |
|---|---|
| Conference Date | 2022/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning, etc. |
| Chair | Ichiro Takeuchi(Nagoya Inst. of Tech.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(Univ. of Tokyo) |
| Assistant | Tomoharu Iwata(NTT) / Atsuyoshi Nakamura(Hokkaido Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] --- |
| Sub Title (in English) | |
| Keyword(1) | deep learning |
| Keyword(2) | turbulence |
| Keyword(3) | U-Net |
| 1st Author's Name | Takahiro Tsukahara |
| 1st Author's Affiliation | Tokyo University of Science(Tokyo University of Science) |
| Date | 2022-03-09 |
| Paper # | IBISML2021-41 |
| Volume (vol) | vol.121 |
| Number (no) | IBISML-419 |
| Page | pp.pp.34-34(IBISML), |
| #Pages | 1 |
| Date of Issue | 2022-03-01 (IBISML) |