• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Bulletin of the American Physical Society >APS -59th Annual Meeting of the APS Division of Plasma Physics - Event - Global Surrogates for the Upshift of the Critical Threshold in the Gradient for ITG Driven Turbulence
【24h】

APS -59th Annual Meeting of the APS Division of Plasma Physics - Event - Global Surrogates for the Upshift of the Critical Threshold in the Gradient for ITG Driven Turbulence

机译：APS-等离子体物理APS部门第59届年会-活动-ITG驱动湍流梯度临界阈值上调的全球替代方案

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The suppression of micro-turbulence and ultimately the inhibition of large-scale instabilities observed in tokamak plasmas is partially characterized by the onset of a global stationary state. This stationary attractor corresponds experimentally to a state of ``marginal stability'' in the plasma. The critical threshold that characterizes the onset in the nonlinear regime is observed both experimentally and numerically to exhibit an upshift relative to the linear theory. That is, the onset in the stationary state is up-shifted from those predicted by the linear theory as a function of the ion temperature gradient $R_0/L_T$. Because the transition to this state with enhanced transport and therefore reduced confinement times is inaccessible to the linear theory, strategies for developing nonlinear reduced physics models to predict the upshift have been ongoing. As a complement to these effort, the principle aim of this work is to establish low-fidelity surrogate models that can be used to predict instability driven loss of confinement using training data from high-fidelity models.
机译：抑制微湍流并最终抑制在托卡马克等离子体中观察到的大规模不稳定性的部分特征在于整体稳态的开始。该固定吸引子在实验上对应于血浆中的``边际稳定性''状态。无论是从实验上还是从数值上，都可以观察到表征非线性状态发作的临界阈值，从而显示出相对于线性理论而言的升档。就是说，在稳态下的发作根据离子温度梯度$ R_0 / L_T $而从线性理论预测的发作上移。由于线性理论无法进入具有增强输运并因此减少限制时间的状态过渡，因此一直在开发用于开发非线性简化物理模型以预测升档的策略。作为这些工作的补充，这项工作的主要目的是建立低保真替代模型，该模型可以使用来自高保真模型的训练数据来预测由不稳定性引起的禁闭损失。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号