AeroFusion: Data Fusion and Uncertainty Quantification for Entry Vehicles-Reference-Cited by-同舟云学术

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AeroFusion: Data Fusion and Uncertainty Quantification for Entry Vehicles

Published:2023-01-19 Issue: Volume: Page:
ISSN:
Container-title:AIAA SCITECH 2023 Forum
language:
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Author:

Snyder Steven¹,Wignall Thomas J.¹,Green Justin S.¹,Kumar Satvik¹,Lee Michael W.¹,Nakamura-Zimmerer Tenavi¹,Scoggins James B.¹,Williams Robert A.¹

Affiliation:

1. NASA Langley Research Center

Publisher

American Institute of Aeronautics and Astronautics

Link

https://arc.aiaa.org/doi/pdf/10.2514/6.2023-1182

Reference20 articles.

1. Mauery, T., Alonso, J., Cary, A., Lee, V., Malecki, R., Mavriplis, D., Medic, G., Schaefer, J., and Slotnick, J. "A Guide for Aircraft Certification by Analysis," Tech. Rep. CR-20210015404, NASA, 2021.

2. Development of the Orion Crew Module Static Aerodynamic Database, Part I: Hypersonic

3. Development of the Orion Crew Module Static Aerodynamic Database, Part II: Subsonic/Supersonic

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Surrogate Models for Hypersonic Aerothermodynamics and Aerodynamics using Gaussian Process Regression;AIAA SCITECH 2024 Forum;2024-01-04

2. MODEL-SI: Modeling and Simulation - Multi-fidelity surrogate model of an eVTOL for certification;AIAA SCITECH 2024 Forum;2024-01-04

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