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Statistical induction of a thermal transport model based on the transport analyses database

机译:基于输运分析数据库的热输运模型的统计归纳

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A new approach for inducing a thermal transport model, of ion heat diffusivity as an example, for magnetically confined high-temperature plasmas has been further pursued after its initial proposal by Yokoyama (2014 Plasma Fusion Res. 9 1302137). It has been based on a statistical approach utilizing the accumulated experimental transport analyses database. Two approaches are described in this paper: (1) placing a priority on reproducing the ion heat diffusivity with higher accuracy for better reproduction of ion temperature profiles, and (2) attempting to acquire a physics interpretation through variable selections and the dependence of the ion heat diffusivity on them. Such progress will foster the study of a practical transport model for real-time control and the provision for guidance to the parameter dependence to be pursued by large-scale cutting-edge simulations.
机译:在Yokoyama最初提出提案(2014 Plasma Fusion Res。9 1302137)之后,就进一步寻求了一种新的方法来诱导磁约束高温等离子体的热传输模型,该模型以离子热扩散率为例。它基于利用累积的实验运输分析数据库的统计方法。本文介绍了两种方法:(1)优先以更高的精度再现离子热扩散率,以更好地再现离子温度曲线;(2)尝试通过变量选择和离子的依赖性获得物理解释。它们的热扩散率。这样的进展将促进对用于实时控制的实用运输模型的研究,并为大规模尖端模拟所追求的参数依赖性提供指导。

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