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Development of a Surrogate Turbulent Transport Model and Its Usefulness in Transport Simulations
https://repo.qst.go.jp/records/81811
https://repo.qst.go.jp/records/81811726dda32-3e60-46a3-9a05-7e00400c9228
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-02-10 | |||||
| タイトル | ||||||
| タイトル | Development of a Surrogate Turbulent Transport Model and Its Usefulness in Transport Simulations | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Mitsuru, Honda
× Mitsuru, Honda× Emi, Narita× Mitsuru, Honda× Emi, Narita |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | For accelerating a transport simulation with an advanced physics turbulent transport model like TGLF, we have been developing a surrogate model that mimics the behavior of the model based on a neural network model. With a steady-state transport solver GOTRESS used, the surrogate model has shown its ability to successfully predict temperature profiles almost equivalent to those by TGLF. The performance of the surrogate model is improved by optimizing hyperparameters and eliminating outliers from training data. Extrapolability of the optimized model is examined by changing the normalized temperature gradient. The objective is to better investigate the nature of the model in addition to measuring its utility in transport simulations. The versatile model, which has been trained with data of multiple cases, is developed applicable to many situations. It shows the same reproducibility as the model specific to each individual case, a fact which unveils great potential of the surrogate model in transport simulations. | |||||
| 書誌情報 |
Plasma and Fusion Research 巻 16, p. 2403002, 発行日 2021-02 |
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| 出版者 | ||||||
| 出版者 | The Japan Society of Plasma Science and Nuclear Fusion Research | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1880-6821 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1585/pfr.16.2403002 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.jspf.or.jp/PFR/PFR_articles/pfr2021/pfr2021_16-2403002.html | |||||
