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

Oberoi, Nikhil; Arias-Ramírez, Walter; Larsson, Johan

doi:10.1080/14685248.2023.2212982

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

Journal Article · Thu May 18 00:00:00 EDT 2023 · Journal of Turbulence (Online)

DOI:https://doi.org/10.1080/14685248.2023.2212982· OSTI ID:1974063

Oberoi, Nikhil ^[1]; Arias-Ramírez, Walter ^[2]; Larsson, Johan ^[2]

Univ. of Maryland, College Park, MD (United States); University of Maryland at College Park
Univ. of Maryland, College Park, MD (United States)

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. Here, 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.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Maryland, College Park, MD (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); Air Force Office of Scientific Research

Grant/Contract Number:: NA0003993

OSTI ID:: 1974063

Journal Information:: Journal of Turbulence (Online), Journal Name: Journal of Turbulence (Online) Journal Issue: 5 Vol. 24; ISSN 1468-5248

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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