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Tearing stability prediction combining toroidal calculations with a two-fluid slab layer

D A Burgess, N C Logan, J-K Park, C J Hansen, C Paz-Soldan2026年6月Plasma Physics and Controlled FusionIF 2.2出版社

A new classical tearing mode (TM) stability simulation workflow has been developed that solves the resistive inner-layer equations in a plasma slab to yield a linear, quasi-toroidal TM growth rate and mode rotation frequency . This workflow combines two-fluid and drift MHD effects in a slab approximation of the resistive inner layer (SLAYER) with an effective tearing stability index as . SLAYER is used to calculate the inner-layer , the STRIDE code is used to calculate a toroidal that includes shaping effects, and the toroidal incorporates effects of thermal conduction on Glasser stabilization. This workflow is rapid and numerically robust across reactor-relevant plasma conditions, and yields growth rates that closely align with analytic predictions in well-documented linear growth rate regimes. Using synthetic equilibria, TM stability was calculated across scans of plasma , inverse aspect-ratio, and toroidal current profile gradient. These scans effectively benchmarked this STRIDE+SLAYER workflow against existing models and showed reliable stability predictions in shaped H-mode-like plasmas. This capability to quickly and robustly predict classical tearing stability in tokamaks will facilitate the mapping of TM stable operational regimes and design of safe discharge trajectories in future devices.

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Tearing mode

AIによる論文要約

トロイダル計算と二流体スラブ層を組み合わせたティアリング安定性予測
JA核融合プラズマの安定性に興味のある学生や研究者、特にトカマク運転設計に関わる人#核融合 #ティアリングモード #プラズマ安定性 #トカマク #MHD
LLM向け: {"Title": "ティアリング安定性予測におけるトロイダル計算と二流体スラブ層の融合", "Authors": "未記載", "Research Objec…

核融合炉で重要な不安定性である古典的ティアリングモード(TM)の成長率と回転周波数を高速かつ堅牢に予測する新しい計算手法を開発しました。この手法は、抵抗性内部層をプラズマスラブで近似するSLAYERコードと、トロイダル効果や形状効果を計算するSTRIDEコードを組み合わせています。特に、二流体やドリフトMHD効果、熱伝導によるGlasser安定化の影響を考慮し、実験的にも理論的にも妥当な結果を得ました。合成平衡を用いた検証では、反転アスペクト比や電流プロファイル勾配に対するスキャンで既存モデルとよく一致し、Hモード様プラズマでの信頼性が示されました。このワークフローは、将来のトカマク装置での安全な運転軌道設計やTM安定領域のマッピングに貢献します。

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