High-Dimensional Uncertainty Propagation in Aerodynamics using Polynomial Chaos-Kriging
Author:
Affiliation:
1. Georgia Institute of Technology College of Engineering
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-3766
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3. A Review of Surrogate Modeling Techniques for Aerodynamic Analysis and Optimization: Current Limitations and Future Challenges in Industry
4. Kontolati, K., Loukrezis, D., Giovanis, D. G., Vandanapu, L., and Shields, M. D. "A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems," 2022, pp.1-42. doi:10.2139/ssrn.4041125.
5. Verification of Stochastic Solutions Using Polynomial Chaos Expansions
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2. Empirical Assessment of Non-Intrusive Polynomial Chaos Expansions for High-Dimensional Stochastic CFD Problems;Aerospace;2023-12-06
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