使用HEAT代码和机器学习方法对SPARC托卡马克等离子体组件进行阴影掩模预测

IF 1.9 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Fusion Engineering and Design Pub Date : 2025-05-02 DOI:10.1016/j.fusengdes.2025.115010

D. Corona , M. Scotto d’Abusco , M. Churchill , S. Munaretto , A. Kleiner , A. Wingen , T. Looby

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引用次数: 0

摘要

这项工作使用机器学习（ML）来补充HEAT（热流通量工程分析工具包），通过开发3d足迹替代模型来快速准确地计算SPARC托卡马克转向器中的热负荷。重点是由等离子体面组件（pfc）的三维几何形状引起的阴影区域或磁阴影。使用ML分类器为HEAT生成的阴影掩模创建代理模型，基于各种平衡范围，仅以等离子体电流、边缘安全系数（q95）和磁通角作为输入参数来预测这些阴影掩模和分流器热流分布。最终目标是将模型集成到实时控制和未来操作决策中。

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Shadow masks predictions in SPARC tokamak plasma-facing components using HEAT code and machine learning methods

This work uses machine learning (ML) to complement HEAT (Heat flux Engineering Analysis Toolkit) by developing 3-D footprint surrogate models for fast and accurate heat load calculations in the divertor of the SPARC tokamak. The focus is on shadowed regions, or magnetic shadows, caused by the 3-D geometry of plasma-facing components (PFCs). ML classifiers are employed to create a surrogate model for HEAT generated shadow masks, predicting these shadow masks and divertor heat flux profiles based on a diverse range of equilibria and only the plasma current, safety factor(q95) at the edge, and magnetic flux angles as input parameters. The ultimate goal is to integrate the model for real-time control and future operational decisions.

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来源期刊

Fusion Engineering and Design 工程技术-核科学技术

CiteScore

3.50

自引率

23.50%

发文量

275

审稿时长

3.8 months

期刊介绍： The journal accepts papers about experiments (both plasma and technology), theory, models, methods, and designs in areas relating to technology, engineering, and applied science aspects of magnetic and inertial fusion energy. Specific areas of interest include: MFE and IFE design studies for experiments and reactors; fusion nuclear technologies and materials, including blankets and shields; analysis of reactor plasmas; plasma heating, fuelling, and vacuum systems; drivers, targets, and special technologies for IFE, controls and diagnostics; fuel cycle analysis and tritium reprocessing and handling; operations and remote maintenance of reactors; safety, decommissioning, and waste management; economic and environmental analysis of components and systems.