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Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data

In this paper, we analyze the trajectory and body attitude data of Felix Baumgartner’s supersonic free fall through the atmosphere on October 14, 2012. As one of us (UW) was scientific advisor to the Red Bull Stratos team, the analysis is based on true body data (body mass, wetted pressure suit surf...

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Detalles Bibliográficos
Autores principales: Guerster, Markus, Walter, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720713/
https://www.ncbi.nlm.nih.gov/pubmed/29216204
http://dx.doi.org/10.1371/journal.pone.0187798
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author Guerster, Markus
Walter, Ulrich
author_facet Guerster, Markus
Walter, Ulrich
author_sort Guerster, Markus
collection PubMed
description In this paper, we analyze the trajectory and body attitude data of Felix Baumgartner’s supersonic free fall through the atmosphere on October 14, 2012. As one of us (UW) was scientific advisor to the Red Bull Stratos team, the analysis is based on true body data (body mass, wetted pressure suit surface area) and actual atmospheric data from weather balloon measurements. We also present a fully developed theoretical analysis and solution of atmospheric free fall. By matching the flight data against this solution, we are able to derive and track the drag coefficient C(D) from the subsonic to the transonic and supersonic regime, and back again. Although the subsonic drag coefficient is the expected C(D) = 0.60 ± 0.05, surprisingly the transonic compressibility drag coefficient is only 19% of the expected value. We provide a plausible explanation for this unexpected result.
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spelling pubmed-57207132017-12-15 Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data Guerster, Markus Walter, Ulrich PLoS One Research Article In this paper, we analyze the trajectory and body attitude data of Felix Baumgartner’s supersonic free fall through the atmosphere on October 14, 2012. As one of us (UW) was scientific advisor to the Red Bull Stratos team, the analysis is based on true body data (body mass, wetted pressure suit surface area) and actual atmospheric data from weather balloon measurements. We also present a fully developed theoretical analysis and solution of atmospheric free fall. By matching the flight data against this solution, we are able to derive and track the drag coefficient C(D) from the subsonic to the transonic and supersonic regime, and back again. Although the subsonic drag coefficient is the expected C(D) = 0.60 ± 0.05, surprisingly the transonic compressibility drag coefficient is only 19% of the expected value. We provide a plausible explanation for this unexpected result. Public Library of Science 2017-12-07 /pmc/articles/PMC5720713/ /pubmed/29216204 http://dx.doi.org/10.1371/journal.pone.0187798 Text en © 2017 Guerster, Walter http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guerster, Markus
Walter, Ulrich
Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title_full Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title_fullStr Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title_full_unstemmed Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title_short Aerodynamics of a highly irregular body at transonic speeds—Analysis of STRATOS flight data
title_sort aerodynamics of a highly irregular body at transonic speeds—analysis of stratos flight data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720713/
https://www.ncbi.nlm.nih.gov/pubmed/29216204
http://dx.doi.org/10.1371/journal.pone.0187798
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