基于Spalart-Allmaras模型的大涡模拟多保真度参数灵敏度估计

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-05-04 DOI:10.1080/14685248.2023.2212982

Nikhil Oberoi, Walter Arias-Ramírez, J. Larsson

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引用次数: 0

摘要

摘要：探索了一种计算合理的方法来估计大涡模拟（LES）中感兴趣的工程量的参数灵敏度。该方法基于定义雷诺平均纳维-斯托克斯（RANS）问题，该问题被约束为再现LES平均流场。针对冲击/边界层相互作用问题描述和评估了所提出的方法，其中冲击角和壁温被认为是可变的或不确定的。在目前的工作中，我们表明，与独立的RANS模拟相比，所提出的方法对某些流动特征提供了改进的灵敏度预测，同时使用了LES成本的一小部分。

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Multi-fidelity parametric sensitivity estimation for large eddy simulation with the Spalart–Allmaras model

ABSTRACT A computationally affordable approach to estimate parametric sensitivities of engineering relevant quantities of interest for a large eddy simulation (LES) is explored. The method is based on defining a Reynolds-averaged Navier–Stokes (RANS) problem that is constrained to reproduce the LES mean flow field. The proposed method is described and assessed for a shock/boundary layer interaction problem, where the shock angle and wall temperature are considered variable or uncertain. In the current work, we show that the proposed method offers improved sensitivity predictions for certain flow features as compared to standalone RANS simulations, while using a fraction of the LES cost.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.