Multifidelity Turbulent Heating Prediction of Hypersonic Inflatable Aerodynamic Decelerators with Surface Scalloping

Abstract

The objective of this work was to investigate a multifidelity modeling approach to accurately and efficiently predict the turbulent convective heating on hypersonic inflatable aerodynamic decelerators with both smooth and scalloped walls. A previously developed co-kriging-based multifidelity modeling approach was used to model the turbulent and laminar convective heat fluxes on smooth wall vehicles. The smooth wall turbulent and laminar multifidelity heating models were then combined to create a multifidelity model of the augmented turbulent heat flux on scalloped vehicles. The smooth wall turbulent heat-flux multifidelity model was found to have a mean convective heat rate error of approximately 7% when compared to high-fidelity computational fluid dynamics (CFD) simulations. The scalloped augmented turbulent heat-flux multifidelity model was found to have a mean convective heat rate error of approximately 10% when compared to high-fidelity CFD simulations. Compared to a single-fidelity model, the multifidelity model required approximately one-quarter the number of high-fidelity model evaluations to obtain the same accuracy level. The computational cost of evaluating the multifidelity model was approximately five orders of magnitude less than one high-fidelity model simulation.