首页> 外文期刊>Journal of Chemical Engineering of Japan >Influence of Thermophysical Properties Extrapolation, in the Course of Iterative Calculations, on the Convergence Pattern of a Simulation Algorithm—A General Analysis
【24h】

Influence of Thermophysical Properties Extrapolation, in the Course of Iterative Calculations, on the Convergence Pattern of a Simulation Algorithm—A General Analysis

机译:热物理性质外推在迭代计算过程中对模拟算法收敛模式的影响-一般分析

获取原文
           

摘要

References(15) Cited-By(1) An extrapolating model provides values for the thermophysical properties when infeasible specifications (either pressure or temperature) are recognized at a given iteration in a process simulator, applying an EOS technique. The model has a considerable effect on the convergence characteristics, accuracy and robustness of a higher-level simulation algorithm.The present paper outlines a general approach for evaluating and comparing the abilities of different extrapolation techniques: to promote the convergence of higher-level algorithms; to ensure for them a solution that is accurate and not significantly inferior to the actual one. The latter could have been obtained using for example a different thermodynamic model.The approach is based on the classical fixed-point theory and its connection with the contraction-mapping principle.
机译:参考文献(15)引用依据(1)外推模型使用EOS技术在过程模拟器中的给定迭代中识别出不可行的规格(压力或温度)时为热物理性质提供值。该模型对高级仿真算法的收敛性,准确性和鲁棒性有很大影响。本文概述了一种评估和比较不同外推技术能力的通用方法:促进高级算法的收敛;确保为他们提供一种准确而又不比实际解决方案差很多的解决方案。后者可以使用例如不同的热力学模型获得。该方法基于经典的定点理论及其与收缩映射原理的联系。

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