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

Alessandro Falchi; Edmondo Minisci; Martin Kubicek; Massimiliano Vasile; Stijn Lemmens

doi:10.1007/978-3-319-69956-1_18

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

Alessandro Falchi, Edmondo Minisci, Martin Kubicek, Massimiliano Vasile, Stijn Lemmens

Mechanical And Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	English
Title of host publication	Stardust Final Conference
Subtitle of host publication	Advances in Asteroids and Space Debris Engineering and Science
Editors	Massimiliano Vasile, Edmondo Minisci, Leopold Summerer, Peter Mcginty
Place of Publication	Cham
Publisher	Springer Netherlands
Pages	301-323
Number of pages	23
ISBN (Print)	978-3-319-69956-1
DOIs	https://doi.org/10.1007/978-3-319-69956-1_18
Publication status	Published - 10 Feb 2018

Publication series

Name	Astrophysics and Space Science Proceedings
Publisher	Springer
Volume	52
ISSN (Print)	1570-6591

Keywords

aerodynamic coefficients
Monte Carlo
low earth atmosphere

Access to Document

10.1007/978-3-319-69956-1_18

Cite this

Falchi, A., Minisci, E., Kubicek, M., Vasile, M., & Lemmens, S. (2018). HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. In M. Vasile, E. Minisci, L. Summerer, & P. Mcginty (Eds.), Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science (pp. 301-323). (Astrophysics and Space Science Proceedings; Vol. 52). Springer Netherlands. https://doi.org/10.1007/978-3-319-69956-1_18

Falchi, Alessandro ; Minisci, Edmondo ; Kubicek, Martin ; Vasile, Massimiliano ; Lemmens, Stijn. / HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. editor / Massimiliano Vasile ; Edmondo Minisci ; Leopold Summerer ; Peter Mcginty. Cham : Springer Netherlands, 2018. pp. 301-323 (Astrophysics and Space Science Proceedings).

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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.",

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Falchi, A, Minisci, E, Kubicek, M, Vasile, M & Lemmens, S 2018, HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. in M Vasile, E Minisci, L Summerer & P Mcginty (eds), Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. Astrophysics and Space Science Proceedings, vol. 52, Springer Netherlands, Cham, pp. 301-323. https://doi.org/10.1007/978-3-319-69956-1_18

HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. / Falchi, Alessandro; Minisci, Edmondo; Kubicek, Martin; Vasile, Massimiliano; Lemmens, Stijn.

Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. ed. / Massimiliano Vasile; Edmondo Minisci; Leopold Summerer; Peter Mcginty. Cham : Springer Netherlands, 2018. p. 301-323 (Astrophysics and Space Science Proceedings; Vol. 52).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC

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AU - Minisci, Edmondo

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AU - Vasile, Massimiliano

AU - Lemmens, Stijn

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AB - 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.

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KW - Monte Carlo

KW - low earth atmosphere

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T3 - Astrophysics and Space Science Proceedings

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Falchi A, Minisci E, Kubicek M, Vasile M, Lemmens S. HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC. In Vasile M, Minisci E, Summerer L, Mcginty P, editors, Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. Cham: Springer Netherlands. 2018. p. 301-323. (Astrophysics and Space Science Proceedings). https://doi.org/10.1007/978-3-319-69956-1_18

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

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

ARCHIE-WeSt (UOSHPC)

FOSTRAD: An advanced open source tool for re-entry analysis

Space Junk: The Odds of Being Hit

Cite this

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

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Equipment

ARCHIE-WeSt (UOSHPC)

Research output

FOSTRAD: An advanced open source tool for re-entry analysis

Activities

Space Junk: The Odds of Being Hit

Cite this