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)
Full text not available in this repository.Request a copyAbstract
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 and Lemmens, Stijn; Vasile, Massimiliano, Minisci, Edmondo, Summerer, Leopold and Mcginty, Peter-
-
Item type: Book Section ID code: 63523 Dates: DateEvent10 February 2018PublishedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics
Technology > Mechanical engineering and machineryDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 21 Mar 2018 15:19 Last modified: 03 Dec 2024 11:16 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/63523