关于气体混合物热辐射非灰色全局模型的精度与计算成本之间的折衷方案

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Soroush Rashidzadeh , Guilherme C. Fraga , Hadi Bordbar , Simo Hostikka
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引用次数: 0

摘要

本研究以最小计算成本为限,评估了最新版本的 FSK 和 SLW 模型(等级相关)以及 WSGG 模型的预测精度。这些预测结果与逐行基准计算结果进行了比较。对各种案例研究进行了一维解耦辐射计算,以研究 FSK 和 SLW 模型的精度能够超过 WSGG 的计算成本极限。通过优化模型参数,解决了 RC-SLW 在三个正交点上性能不佳的问题。此外,还对使用近似混合数据库的可能性进行了评估,结果显示 RC-FSK 模型能够在低至四个正交点时产生令人满意的结果。在使用近似曲线方面,RC-FSK 方法似乎也略胜一筹。分析结果可作为在 CFD 代码中有效实施 FSK 或 SLW 模型的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the compromise between accuracy and computational cost of non-gray global models for heat radiation in gas mixtures

In this study the prediction accuracy of latest versions of FSK and SLW models (Rank correlated) and WSGG model is assessed at the limit of smallest computation cost. The results of these predictions are compared with the Line-by-Line benchmark calculations. One-dimensional decoupled radiation calculation is performed on a variety of case studies in order to investigate the limit of computational cost where the accuracy of FSK and SLW model are able to surpass WSGG. The subpar performance of RC-SLW at three quadrature points is addressed by optimizing model parameters. The possibility of using an approximated mixture database is also assessed where the RC-FSK model is able to yield satisfactory results with as low as four quadrature points. Regarding the utilization of approximated curves, again the method seems to be working slightly better with RC-FSK. The outcomes of this analysis may serve as guidance regarding the efficient implementation of FSK or SLW models in CFD codes.

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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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