Multifidelity Modeling for Efficient Aerothermal Prediction of Deployable Entry Vehicles


The objective of this work was to investigate a multifidelity modeling approach to accurately and efficiently predict the aerothermal response of a large-diameter deployable hypersonic entry vehicle in Mars entry. A cokriging-based multifidelity modeling approach was developed that used several refinements including lower-upper decomposition for parallelization, distance weighted root-mean-square error adaptive sampling, and surface distribution parameterization using Hicks-Henne bump functions. Several computational tools of varying fidelity were investigated to model the surface convective heat flux, shear stress, pressure, and radiative heat flux in the multifidelity modeling process. The multifidelity model was found to have a mean convective heat rate error of 4.6%, a mean pressure force error of 0.81%, a mean shear force error of 2.86%, and a mean radiative heat rate error of 11.1% when compared to high-fidelity computational fluid dynamics simulations. Compared to a single-fidelity model, the multifidelity model required approximately one-half the number of high-fidelity model evaluations to obtain the same accuracy level. The computational cost of constructing and evaluating the multifidelity model were approximately one and five orders of magnitude less, respectively, than one high-fidelity model simulation.


Mechanical and Aerospace Engineering

Research Center/Lab(s)

Center for High Performance Computing Research


National Aeronautics and Space Administration, Grant 80NSSC17K0170

International Standard Serial Number (ISSN)

0022-4650; 1533-6794

Document Type

Article - Journal

Document Version


File Type





© 2021 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.

Publication Date

21 Sep 2021