对发生化学反应的可压缩湍流平面射流进行大涡模拟和拉格朗日混合模拟

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2024-02-25 DOI:10.1002/fld.5273
Jiabao Xing, Tomoaki Watanabe, Koji Nagata
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引用次数: 0

摘要

大涡模拟(LES)与拉格朗日粒子模拟(LPS)相结合,用于研究高速湍流反应流。在这里,LES 解决的是速度场,而 LPS 解决的是带有名义粒子的标量输运方程。虽然 LPS 不需要化学源项的子网格尺度模型,但分子扩散必须通过所谓的混合模型来模拟,为此,最初针对不可压缩流中的惰性标量提出的混合体积模型(MVM)被扩展到可压缩流中的反应标量。扩展模型基于向附近名义粒子平均值的弛豫过程,并假定所有物种具有共同的混合时间尺度。采用 MVM 的 LES/LPS 被应用于具有等温反应的时变可压缩湍流平面射流,并通过将结果与直接数值模拟(DNS)进行比较进行了测试。结果表明,LES/LPS 可以很好地预测质量分数的统计量。随着射流马赫数的增加,由于射流发展的延迟,反应进程也随之延迟。LES/LPS 也很好地再现了这种马赫数相关性。作为其质量分数函数计算的产物平均分子扩散项在 LES/LPS 和 DNS 中也很吻合。MVM 的一个重要参数是粒子间的距离,在本测试案例中提出了精确预测的要求。采用 MVM 的 LES/LPS 预计将成为一种以中等计算成本研究可压缩湍流反应流的有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Hybrid large eddy simulation and Lagrangian simulation of a compressible turbulent planar jet with a chemical reaction

Large eddy simulation (LES) coupled with Lagrangian particle simulation (LPS) is applied to investigate high-speed turbulent reacting flows. Here, LES solves a velocity field while LPS solves scalar transport equations with notional particles. Although LPS does not require sub-grid scale models for chemical source terms, molecular diffusion has to be modeled by a so-called mixing model, for which a mixing volume model (MVM), that is originally proposed for an inert scalar in incompressible flow, is extended to reactive scalars in compressible flows. The extended model is based on a relaxation process toward the average of nearby notional particles and assumes a common mixing timescale for all species. LES/LPS with the MVM is applied to a temporally-evolving compressible turbulent planar jet with an isothermal reaction and is tested by comparing the results with direct numerical simulation (DNS). The results show that LES/LPS well predicts the statistics of mass fractions. As the jet Mach number increases, the reaction progress delays due to the delayed jet development. This Mach number dependence is also well reproduced in LES/LPS. The mean molecular diffusion term of the product calculated as a function of its mass fraction also agrees well between LES/LPS and DNS. An important parameter for the MVM is the distance among particles, for which the requirement for accurate prediction is presented for the present test case. LES/LPS with the MVM is expected to be a promising method for investigating compressible turbulent reactive flows at a moderate computational cost.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
期刊最新文献
Issue Information Cover Image Issue Information Semi‐implicit Lagrangian Voronoi approximation for the incompressible Navier–Stokes equations A new non‐equilibrium modification of the k−ω$$ k-\omega $$ turbulence model for supersonic turbulent flows with transverse jet
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