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Multifidelity Approach to Sensitivity Estimation in Large-Eddy Simulation

Journal Article · · AIAA Journal
DOI:https://doi.org/10.2514/1.j062875· OSTI ID:1974061
 [1];  [2];  [2]
  1. Univ. of Maryland, College Park, MD (United States); University of Maryland at College Park
  2. Univ. of Maryland, College Park, MD (United States)
+ Show Author Affiliations

A novel approach to compute affordable approximate sensitivities in a large-eddy simulation (LES) is proposed and assessed. The approach is based on solving a Reynolds-averaged Navier–Stokes (RANS) problem that has been linearized around the mean LES solution, with closure modeling required for the linearized changes in turbulent Reynolds stresses. In the present study, the closure modeling is based on a linearized algebraic turbulence model. The method is assessed for the flow over a NACA0012 airfoil at a fixed angle of attack, with the Reynolds number as the variable parameter. The results show that, provided an accurate linearized closure model, the method predicts the correct sensitivity of the skin friction coefficient and the mean velocity field at the cost of a linearized RANS, which provides an important proof-of-concept for this approach. Here, the linearized algebraic turbulence model with standard model coefficients produces a reasonably accurate sensitivity, but the results also suggest that accuracy could be gained from recalibrating the model coefficients for this new use of the model.

Research Organization:
Univ. of Maryland, College Park, MD (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
Grant/Contract Number:
NA0003993
OSTI ID:
1974061
Journal Information:
AIAA Journal, Journal Name: AIAA Journal Journal Issue: 8 Vol. 61; ISSN 0001-1452
Publisher:
AIAACopyright Statement
Country of Publication:
United States
Language:
English

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Figures / Tables (10)

Fig. 1(p. 4)figure Fig. 1
Fig. 2(p. 4)figure Fig. 2
Table 1(p. 4)table Table 1
Fig. 3(p. 5)figure Fig. 3
Table 2(p. 5)table Table 2
Fig. 4(p. 6)figure Fig. 4
Fig. 5(p. 7)figure Fig. 5
Fig. 6(p. 8)figure Fig. 6
Fig. 8(p. 9)figure Fig. 8
Fig. 9(p. 9)figure Fig. 9

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Related Subjects

42 ENGINEERING
Aerodynamic drag
Aerodynamic flow simulations
Airfoil
Computational fluid dynamics
Large Eddy simulation
Reynolds Averaged Navier Stokes
Sensitivity analysis
Skin friction coefficient
Statistical analysis
Turbulence models