An investigation was conducted to evaluate the error involved in predicting aerothermodynamic loads (surface pressure, skin friction, and heat transfer) using a Reynolds Averaged Navier Stokes (RANS) solver. Numerical simulations of Shock Wave / Turbulent Boundary Layer Interaction (SWTBLI) at Mach 5 are performed and compared with vetted experimental data. These simulations include three 2-D impinging shock, and two 3-D swept shock cases. The impinging shock cases involve different levels of interaction intensity, which result in attached, incipiently separated, and fully separated flows. Comparisons between the numerical results and experimental data for each case are used to evaluate the error in predicting the associated SWTBLI aero-thermodynamic loads. The result shows that while wall pressure is accurately predicted, skin friction is under predicted, and heat transfer is over predicted. However, the trends in skin friction and heat transfer are captured by the RANS simulations. Nomenclature β = Shock generator or fin deflection angle x = Streamwise distance from flat plate or fin leading edge y = Normal distance from the flat plate z = Spanwise distance from fin leading edge M = Mach number δ = Boundary layer height δ * = Boundary layer displacement thickness θ = Boundary layer momentum thickness H = Boundary layer shape factor or intersection point of separation and incident shocks γ = Angle of reattachment ε = Shock angle φ = Angle of separation ψ = Angle of upstream influence S = Line of separation R = Line of reattachment UI = Line of upstream influence P = Pressure T = Temperature M = Mach number Re/m = Unit Reynolds number U = Streamwise Velocity H o = Enthalpy ρ = Density μ = Dynamic viscosity = Dynamic viscosity from Sutherlands' law = Dynamic viscosity from Keyes' law f = Viscosity blending function ν ̃ = Eddy viscosity 1 Research Scientist, Ohio Aerospace Institute, Member AIAA. 2 Senior Aerospace Engineer, AFRL/RQHF, Associate Fellow AIAA. Downloaded by KUNGLIGA TEKNISKA HOGSKOLEN KTH on July 30, 2015 | http://arc.aiaa.org |