Uncertainty Quantification of Hypersonic Reentry Flows using Sparse Sampling and Stochastic Expansions
Abstract
The objective of this study was to demonstrate the use of a combined sparse sampling and stochastic expansion approach for efficient and accurate uncertainty quantification of high-fidelity, hypersonic reentry flow simulations, which may contain large numbers of aleatory and epistemic uncertainties. Stochastic expansion coefficients were obtained using the point-collocation non-intrusive polynomial chaos technique under sparse sampling conditions, utilizing a number of samples less than the minimum number required for a total order expansion. This study introduced two methods of measuring the accuracy of the expansion coefficients as well as their convergence with iteratively increasing sample size. The sparse sampling solution technique and accuracy and convergence measures were demonstrated on two model problems. The first was a model for stagnation point, convective heat transfer in hypersonic flow. Mixed uncertainty quantification analysis results showed that accurate expansion coefficients could be obtained with half the number of samples required for an analytically obtained total order expansion. The second problem was a high-fidelity, computational fluid dynamics model for radiative heat flux on a Hypersonic Inflatable Aerodynamic Decelerator during Mars entry. The model consisted of 93 uncertain parameters, coming from both flow field and radiation modeling. Results indicated that an accurate surrogate model could be obtained with only about 15% of the number of samples required for a total order expansion when compared to previous work.
Recommended Citation
T. K. West and S. Hosder, "Uncertainty Quantification of Hypersonic Reentry Flows using Sparse Sampling and Stochastic Expansions," Proceedings of the 16th AIAA Non-Deterministic Apporaches Conference (2014, National Harbor, MD), American Institute of Aeronautics and Astronautics (AIAA), Jan 2014.
The definitive version is available at https://doi.org/10.2514/6.2014-0813
Meeting Name
16th AIAA Non-Deterministic Approaches Conference (2014: Jan. 13-17, National Harbor, MD)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
01 Jan 2014
