Applying Bayesian Inference to Estimate Uncertainties in the Aerodynamic Database of CALLISTO-Reference-Cited by-同舟云学术

Applying Bayesian Inference to Estimate Uncertainties in the Aerodynamic Database of CALLISTO

Published:2023-03-04 Issue: Volume: Page:
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Container-title:2023 IEEE Aerospace Conference
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Author:

Krummen Sven¹,Tummala Pavan¹,Wilken Jascha¹,Dumont Etienne¹,Ertl Moritz²,Ecker Tobias²,Riehmer Johannes³,Klevanski Josef³

Affiliation:

1. Institute of Space Systems,German Aerospace Center (DLR),Bremen,Germany,28359

2. Institute of Aerodynamics and Flow Technology,German Aerospace Center (DLR),Göttingen,Germany,37073

3. Institute of Aerodynamics and Flow Technology,German Aerospace Center (DLR),Köln,Germany,51147

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115932.pdf?arnumber=10115932

Reference44 articles.

1. Progress in aerodynamic studies for callisto-reusable vtvl launcher first stage demonstrator;klevanski;8th European Conference for Aeronautics and Aerospace Sciences (EUCASS),2022

2. An aerodynamic variable-fidelity modelling framework for a low-observable UCAV

3. Callisto: A prototype paving the way for reusable launch vehicles in europe and japan;dumont;73rd International Astronautical Congress (IAC),2022

4. Aerodatabase of vega-c launcher development and integration;roncioni;Proceedings of 8th European Conference for Aeronautics and Space Sciences,2019

5. An improved reconstruction method for compressible flows with low Mach number features

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