HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC

Falchi, Alessandro and Minisci, Edmondo and Kubicek, Martin and Vasile, Massimiliano and Lemmens, Stijn; Vasile, Massimiliano and Minisci, Edmondo and Summerer, Leopold and Mcginty, Peter, eds. (2018) HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. In: Stardust Final Conference. Astrophysics and Space Science Proceedings . Springer Netherlands, Cham, pp. 301-323. ISBN 978-3-319-69956-1 (https://doi.org/10.1007/978-3-319-69956-1_18)

Abstract

A sensitivity analysis of aerodynamic coefficients has been performed by coupling a Direct Simulation Monte Carlo method and a High Dimensional Model Representation based uncertainty quantification approach. The study has been performed on the Gravity Field and Steady-State Ocean Circulation Explorer satellite. The uncertainty on aerodynamics has been quantified with respect to atmospheric parameters, which have been obtained using the NRLMSISE-00 atmospheric model, within a free molecular flow regime in the Low Earth Atmosphere. The aerodynamic simulations have been performed with the dsmcFoam code, based on the open-source OpenFOAM platform.

ORCID iDs

Falchi, Alessandro ORCID: https://orcid.org/0000-0002-7452-5729

Minisci, Edmondo ORCID: https://orcid.org/0000-0001-9951-8528

Kubicek, Martin ORCID: https://orcid.org/0000-0002-9800-1209

Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Citations and altmetrics
• Item metadata

  Item type:	Book Section
  ID code:	63523
  Dates:	Date Event 10 February 2018 Published
  Keywords:	aerodynamic coefficients, Monte Carlo, low earth atmosphere, Motor vehicles. Aeronautics. Astronautics, Mechanical engineering and machinery, Physics and Astronomy(all), Computer Science Applications, Spectroscopy, Space and Planetary Science, Nuclear and High Energy Physics
  Subjects:	Technology > Motor vehicles. Aeronautics. Astronautics Technology > Mechanical engineering and machinery
  Department:	Faculty of Engineering > Mechanical and Aerospace Engineering
  Depositing user:	Pure Administrator
  Date deposited:	21 Mar 2018 15:19
  Last modified:	20 Jan 2021 16:05
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/63523