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

IF 1.5 4区工程技术 Q3 MECHANICS

Journal of Turbulence Pub Date : 2023-05-04 DOI:10.1080/14685248.2023.2212982

Nikhil Oberoi, Walter Arias-Ramírez, J. Larsson

引用次数: 0

Abstract

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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基于Spalart-Allmaras模型的大涡模拟多保真度参数灵敏度估计

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。

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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来源期刊

Journal of Turbulence 物理-力学

CiteScore

3.90

自引率

5.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Turbulence is a physical phenomenon occurring in most fluid flows, and is a major research topic at the cutting edge of science and technology. Journal of Turbulence ( JoT) is a digital forum for disseminating new theoretical, numerical and experimental knowledge aimed at understanding, predicting and controlling fluid turbulence. JoT provides a common venue for communicating advances of fundamental and applied character across the many disciplines in which turbulence plays a vital role. Examples include turbulence arising in engineering fluid dynamics (aerodynamics and hydrodynamics, particulate and multi-phase flows, acoustics, hydraulics, combustion, aeroelasticity, transitional flows, turbo-machinery, heat transfer), geophysical fluid dynamics (environmental flows, oceanography, meteorology), in physics (magnetohydrodynamics and fusion, astrophysics, cryogenic and quantum fluids), and mathematics (turbulence from PDE’s, model systems). The multimedia capabilities offered by this electronic journal (including free colour images and video movies), provide a unique opportunity for disseminating turbulence research in visually impressive ways.