中国科学技术大学学报 ›› 2020, Vol. 50 ›› Issue (5): 589-595.DOI: 10.3969/j.issn.0253-2778.2020.05.006

• 论著 • 上一篇    下一篇

改进密度耦合的稀疏拉格朗日FDF方法模拟Sandia火焰E

黄立航,朱旻明,叶桃红   

  1. 中国科学技术大学热科学和能源工程系, 安徽合肥 230027
  • 收稿日期:2019-03-22 修回日期:2019-05-10 接受日期:2019-05-10 出版日期:2020-05-31 发布日期:2019-05-10
  • 通讯作者: 叶桃红
  • 作者简介:黄立航,男,1993年生,硕士生.研究方向:湍流燃烧数值模拟.E-mail:975561584@qq.com
  • 基金资助:
    国家自然科学基金(91441117, 51576182)资助.

Sparse-Lagrangian FDF simulation of Sandia flame E with modified density coupling

HUANG Lihang, ZHU Minming, YE Taohong   

  1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China
  • Received:2019-03-22 Revised:2019-05-10 Accepted:2019-05-10 Online:2020-05-31 Published:2019-05-10

摘要: 采用稀疏拉格朗日过滤密度函数(稀疏FDF)方法,对Sandia火焰E进行了模拟.运用稀疏颗粒蒙特卡洛方法求解标量的FDF方程,采用广义多维映射条件(MMC)模型保证混合的当地性.将现有稀疏FDF方法中的密度耦合方法作了改进,以颗粒上等效焓源项的条件平均值作为源项直接耦合到大涡模拟(LES)求解的等效焓输运方程中.模拟结果表明,改进的密度耦合方法比较合理,可以减少LES结果的偏差,计算结果与实验结果符合得很好.

关键词: 大涡模拟(LES), 过滤密度函数(FDF), 密度耦合, 多维映射条件(MMC)混合模型

Abstract: Sparse-Lagrangian filtered density function (FDF) simulation is performed for Sandia flame E. Sparse-Lagrangian Monte Carlo method is used to solve the scalar FDF transport equations, in which a generalized multiple mapping conditioning (MMC) model is implemented to enforce mixing localness. A modified density coupling method for Sparse-Lagrangian FDF is proposed, in which the conditional mean source term of equivalent enthalpy is fed back directly as the source term in the Eulerian equivalent enthalpy transport equation of large eddy simulation (LES). The results of Sparse-Lagrangian FDF simulation indicated that the new density coupling method is more reasonable than the previous ones in reducing the numerical errors in LES results, and that the simulation results agree well with the experimental data.

Key words: large eddy simulation (LES), filtered density function (FDF), density coupling, MMC mixing model

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