Uncertainty Quantification of Artemis I Space Launch System Integrated Aerodynamics Databases

Author:

Lee Michael W.1ORCID,Shea Patrick R.1,Pinier Jeremy T.1,Chan David T.1

Affiliation:

1. NASA Langley Research Center, Hampton, Virginia 23681

Abstract

Accurate prediction of integrated aerodynamic forces and moments is a necessary part of aerospace vehicle development. This accuracy can be quantified in the form of an uncertainty model, which makes the prediction more useful within an integrated vehicle design effort. Aerodynamic force and moment databases were constructed for the Artemis I mission of the Space Launch System vehicle. These databases reconcile data from multiple sources to yield unified predictions of how NASA’s most advanced launch vehicle interacts with Earth’s atmosphere as it ascends into orbit. This paper outlines how the uncertainty quantification was performed for these databases to ensure comprehensive and tractable uncertainty source coverage.

Funder

Langley Research Center

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Reference23 articles.

1. NealR. M. “Probabilistic Inference Using Markov Chain Monte Carlo Methods,” Dept. of Computer Science, Univ. of Toronto CRG-TR-91-1, Toronto, 1993, https://www.cs.princeton.edu/courses/archive/fall07/cos597C/readings/Neal1993.pdf.

2. On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty

3. TeamS. A. T. “SLSP Vehicle Aerodynamic Data Book, Volume 1: SLS1000X,” NASA, 2021.

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