A method to estimate buffeting loads on lifting surfaces immersed in turbulent streams using steady Reynolds-averaged Navier–Stokes equation solutions is presented. A generalization of a model developed by Liepmann (“On the Application of Statistical Concepts to the Buffeting Problem,” Journal of the Aeronautical Sciences, Vol. 19, No. 12, Dec. 1952, pp. 793–800.) that is based on thin airfoil theory and statistical concepts is employed. Mean flow and turbulence-derived quantities required by the method are supplied by steady Reynolds-averaged Navier–Stokes equation model data. The shear-stress transport turbulence model is used here. The predictive capability of the method is assessed by comparison to unsteady turbulence simulations of the stream buffeting the lifting surface. A half-step is also taken wherein turbulence simulation results are used to close the Liepmann model, allowing that model’s performance to be isolated from the impact of using a Reynolds-averaged Navier–Stokes model. The E-2D Advanced Hawkeye rotodome exposed to a compressible turbulent plume is used as a test case. The half-step results show that the Liepmann model itself performs well when both the upper and lower surfaces of the rotodome are within the stream. Estimates obtained using steady Reynolds-averaged Navier–Stokes equation-based results within the Liepmann model compare less favorably due to mean flow prediction differences. But, they are reasonable and have been found to be useful in an environment where a large number of cases needs to be quickly analyzed.
Steady Reynolds-Averaged Navier–Stokes Equation-Based Buffeting Loads Estimation
AIAA Journal ; 55 , 6 ; 1920-1929
2017-04-17
10 pages
Article (Journal)
Electronic Resource
English
Steady Reynolds-Averaged Navier–Stokes Equation-Based Buffeting Loads Estimation
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