Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling
Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling
复制标题
通过集成建模将高斯过程回归应用于等离子体湍流输运模型验证
DOI：
10.1088/1741-4326/ab065a
复制
发表时间：
2019
期刊：
影响因子：
3.3
通讯作者：
Epfl
中科院分区：
文献类型：
--
作者：
A. Ho;J. Citrin;F. Auriemma;C. Bourdelle;F. Casson;Hyun;P. Manas;G. Szepesi;H. Weisen;Jet Contributors Differ;Rfx;Cea;Ccfe;Ipp Garching;Epfl
本文概述了一种在集成建模中提高托卡马克湍流传输模型验证严谨性的方法。在准备集成建模模拟期间，应用高斯过程回归 (GPR) 技术进行轮廓拟合，从而可以在提供拟合和导数不确定性的情况下对规定的初始和边界条件进行严格的灵敏度测试。这通过 JETTO 集成建模模拟 JET ITER 类壁 H 模式基线放电 #92436 与 QuaLiKiz 准线性湍流输运模型得到了证明，该模型是对氘-氚等离子体外推的主题。该模拟同时评估热、粒子和动量通量在 ∼10 次约束时间内的时间演化，模拟边界条件为 。在多通道通量驱动的输运模型中常规包含动量输运预测并不是标准做法，QuaLiKiz 模型的最新发展促进了这一点。 ne、Te、Ti 和 inside 的拟合剖面和模拟剖面之间取得了极好的一致性，但模拟低估了中半径 Ti，高估了该放电的核心 ne 和 Te 剖面。尽管如此，事实证明，这种方法能够从实验数据中得出托卡马克模型的合理输入，包括导数。此外，还定义了多个品质因数，以定量评估探地雷达剖面拟合框架内的综合建模预测与实验数据的一致性。
This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques were applied for profile fitting during the preparation of integrated modelling simulations allowing for rigourous sensitivity tests of prescribed initial and boundary conditions as both fit and derivative uncertainties are provided. This was demonstrated by a JETTO integrated modelling simulation of the JET ITER-like-wall H-mode baseline discharge #92436 with the QuaLiKiz quasilinear turbulent transport model, which is the subject of extrapolation towards a deuterium–tritium plasma. The simulation simultaneously evaluates the time evolution of heat, particle, and momentum fluxes over ∼10 confinement times, with a simulation boundary condition at . Routine inclusion of momentum transport prediction in multi-channel flux-driven transport modelling is not standard and is facilitated here by recent developments within the QuaLiKiz model. Excellent agreement was achieved between the fitted and simulated profiles for ne, Te, Ti, and within , but the simulation underpredicts the mid-radius Ti and overpredicts the core ne and Te profiles for this discharge. Despite this, it was shown that this approach is capable of deriving reasonable inputs, including derivative quantities, to tokamak models from experimental data. Furthermore, multiple figures-of-merit were defined to quantitatively assess the agreement of integrated modelling predictions to experimental data within the GPR profile fitting framework.
影响因子：
3.3
作者：
Litaudon, X.;Abduallev, S.;Zychor, I.
通讯作者：
Zychor, I.