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首页> 外文期刊>Plasma physics and controlled fusion >Turbulent transport analysis of JET H-mode and hybrid plasmas using QuaLiKiz and Trapped Gyro Landau Fluid
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Turbulent transport analysis of JET H-mode and hybrid plasmas using QuaLiKiz and Trapped Gyro Landau Fluid

机译:使用QuaLiKiz和陷阱Gyro Landau流体对JET H型和混合等离子体的湍流传输分析

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摘要

The physical transport processes at the basis of JET typical inductive H-mode scenarios and advanced hybrid regimes, with improved thermal confinement, are analyzed by means of some of the newest and more sophisticated quasi-linear transport models: trapped gyro Landau fluid (TGLF) and QuaLiKiz. The temporal evolution of JET pulses is modelled by CRONOS where the turbulent transport is modelled by either QuaLiKiz or TGLF. Both are first principle models with a more comprehensive physics than the models previously developed and therefore allow the analysis of the physics at the basis of the investigated scenarios. For H-modes, ion temperature gradient (ITG) modes are found to be dominant and the transport models are able to properly reproduce temperature profiles in self-consistent simulations. However, for hybrid regimes, in addition to ITG trapped electron modes (TEM) are also found to be important and different physical mechanisms for turbulence reduction play a decisive role. Whereas E x B flow shear and plasma geometry have a limited impact on turbulence, the presence of a large population of fast ions, quite important in low density regimes, can stabilize core turbulence mainly when the electromagnetic effects are taken into account. The TGLF transport model properly captures these mechanisms and correctly reproduces temperatures.
机译:通过一些最新和更复杂的准线性传输模型,分析了基于JET典型感应H模式场景和先进混合模式(具有改进的热限制)的物理传输过程:捕获的陀螺朗道流体(TGLF)和QuaLiKiz。 JET脉冲的时间演化由CRONOS建模,其中湍流传输由QuaLiKiz或TGLF建模。两者都是比以前开发的模型具有更全面的物理原理的第一原理模型,因此可以在所研究的场景的基础上进行物理分析。对于H模式,发现离子温度梯度(ITG)模式占主导地位,并且传输模型能够在自洽模拟中正确再现温度曲线。然而,对于混合态,除ITG外,还发现捕获电子模式(TEM)也很重要,并且不同的减少湍流的物理机制也起着决定性的作用。尽管E x B流动剪切和等离子体几何形状对湍流的影响有限,但主要是在考虑电磁效应的情况下,大量的快速离子的存在(在低密度条件下非常重要)可以稳定核心的湍流。 TGLF传输模型正确地捕获了这些机制并正确地再现了温度。

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