Multi-Fidelity Turbulent Heating Prediction of Hypersonic Inflatable Aerodynamic Decelerators with Surface Scalloping
Abstract
The objective of this work was to investigate a multi-fidelity 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 multi-fidelity modeling approach was used to model the turbulent and laminar convective heat fluxes on smooth wall vehicles. The smooth wall turbulent and laminar multi-fidelity heating models were then combined to create a multi-fidelity model of the augmented turbulent heat flux on scalloped vehicles. The smooth wall turbulent heat flux multi-fidelity model was found to have a mean convective heat rate error of approximately 7% when compared to high-fidelity CFD simulations. The scalloped augmented turbulent heat flux multi-fidelity 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 multi-fidelity model required approximately one-quarter the number of high-fidelity model evaluations to obtain the same accuracy level. The computational cost of evaluating the multi-fidelity model was approximately five orders of magnitude less than one high-fidelity model simulation.
Recommended Citation
M. Santos et al., "Multi-Fidelity Turbulent Heating Prediction of Hypersonic Inflatable Aerodynamic Decelerators with Surface Scalloping," roceedings of the AIAA Aviation 2020 Forum, American Institute of Aeronautics and Astronautics (AIAA), Jun 2020.
The definitive version is available at https://doi.org/10.2514/6.2020-2724
Meeting Name
AIAA Aviation 2020 FORUM (2020: Jun. 15-19, Virtual)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
International Standard Book Number (ISBN)
978-162410598-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
19 Jun 2020
Comments
National Aeronautics and Space Administration, Grant 80NSSC17K0170