Bayesian Inferencing on an Aircraft T-Tail Using Probabilistic Surrogates and Uncertainty Quantification
Author:
Affiliation:
1. University of Sydney, New South Wales 2006, Australia
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.J056026
Reference52 articles.
1. Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics
2. “Military Handbook: Metallic Materials and Elements for Aerospace Vehicle Structures,” U.S. Dept. of Defense, Technical Rept. MIL-HDBK-5J, 1998.
3. Uncertainty Quantification in Aeroelasticity: Recent Results and Research Challenges
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