首页> 外文期刊>Fusion Engineering and Design >Output data from simplified electromagnetic models for structure analysis of main ITER components
【24h】

Output data from simplified electromagnetic models for structure analysis of main ITER components

机译:来自简化电磁模型的输出数据,用于主要ITER组件的结构分析

获取原文
获取原文并翻译 | 示例
           

摘要

The distribution of forces, acting on components of the electromagnetic (EM) system considered herein has been analyzed with the use of simplified models and equivalent dynamic simulators for a variety of plasma event scenarios. The work was aimed at the formulation of the problem of the global force balance and the approach to its resolution, identification of the main factors of the force interaction between components, development of the numerical models for qualitative and quantitative assessment of the problem and relevant parameters and the computations and assessment of the results. The use of equivalent simulators with elimination of redundant details and degrees of freedom (DOFs) principally reduces computational complexity of the problem. The selection (identification) of the equivalent system on the basis of the evaluation of the significance of impacts on the parameter of interest provides the effective and natural filtering of secondary or irrelevant information. The finding of equivalent minimum dynamic systems (EMDS) opens, at a certain rate of computations, a way to develop real-time simulators. The paper describes simplified models, the principles of definition (synthesis) and use of EMDS, the structure of the database (magnitude and time evolution of distributed and integral basic parameters) required for the evaluation of the EM loads and examples of the data.
机译:已经使用简化的模型和等效的动态模拟器对各种等离子体事件场景进行了分析,分析了此处考虑的电磁(EM)系统组件上的力分布。这项工作的目的是解决全球部队平衡问题及其解决办法,确定各组成部分之间部队相互作用的主要因素,开发用于对问题和相关参数进行定性和定量评估的数值模型。以及结果的计算和评估。使用等效的模拟器消除冗余的细节和自由度(DOF),可以从根本上减少问题的计算复杂性。根据对所关注参数的影响的重要性的评估来选择(识别)等效系统,可以有效且自然地过滤次要信息或无关信息。等效最小动态系统(EMDS)的发现以一定的计算速度为开发实时模拟器提供了一种途径。本文描述了简化的模型,EMDS的定义(原理)和使用,EMDS评估所需的数据库结构(分布和积分基本参数的大小和时间演化)以及数据示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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