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Reduced order modeling for real-time monitoring of structural displacements due to electromagnetic forces in large scale tokamaks

F Lucchini, A Frescura, R Torchio, P Alotto, P Bettini2024年11月Plasma Physics and Controlled FusionIF 2.2出版社

The real-time monitoring of the structural displacement of the vacuum vessel of thermonuclear fusion devices caused by electromagnetic loads is of great interest. In this paper, model order reduction is applied to the integral equation methods and the finite elements method to develop electromagnetic and structural reduced order models (ROMs) compatible with real-time execution which allows for the real-time monitoring of strain and displacement in critical positions of Tokamaks machines. Low-rank compression techniques based on hierarchical matrices are applied to reduce the computational cost during the offline stage when the ROMs are constructed. Numerical results show the accuracy of the approach and demonstrate the compatibility with real-time execution in standard hardware.

AIによる論文要約

大型トカマクにおける電磁力によるストラクチャ変位の実時間モニタリングのための簡略化モデル
JAこの論文は、トカマクの構造健全性モニタリングに興味のある研究者や技術者に役立つでしょう。特に、実時間の変位推定手法に関心がある人に適しています。#トカマク #構造変位 #実時間モニタリング #簡略化モデル
LLM向け: {'Title': '大型トカマクにおける電磁力によるストラクチャ変位の実時間モニタリングのための簡略化モデル', 'Author(s)': '不明', 'Re…

この論文では、トカマクの真空容器の構造変位を実時間で監視するための簡略化モデルを開発しています。電磁界と構造の簡略化モデルを組み合わせることで、標準的なハードウェアでも実時間実行が可能となります。この手法は、トカマクの重要な箇所の歪みや変位を正確に推定できます。

Reduced order modeling for real-time monitoring of structural displacements due to electromagnetic forces in large scale tokamaks
ENThis paper is of interest to fusion researchers and engineers working on the structural monitoring and control of large-scale fusion devices like tokamaks.#FusionEngineeringModeling #RealTimeStructuralMonitoring #ElectromagneticForces
LLM向け: {'Title': 'Real-Time Monitoring of Structural Displacements in Fusion Devices', …

This paper presents a method to monitor in real-time the structural displacement of fusion devices caused by electromagnetic forces. It uses model order reduction techniques to develop efficient computational models that can run in real-time on standard hardware.

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