Robust multi-disciplinary design and optimisation of a reusable launch vehicle

Wuilbercq, Romain and Pescetelli, Fabrizio and Mogavero, Alessandro and Minisci, Edmondo and Brown, Richard (2014) Robust multi-disciplinary design and optimisation of a reusable launch vehicle. In: 19TH AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 2014-06-16 - 2014-06-20, Hyatt Regency Atlanta.

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Abstract

For various technical reasons, no fully reusable launch vehicle has ever been successfully constructed or operated. Nonetheless, a range of reusable hypersonic vehicles is currently being considered as a viable alternative to the expensive but more conventional expendable rocket systems that are currently being used to gain access to space. This paper presents a methodology that has been developed for the rapid and efficient preliminary design of such vehicles. The methodology that is presented uses multi-disciplinary design optimization coupled with an integrated set of reduced-order models to estimate the characteristics of the vehicle's aero-thermodynamic, propulsion, thermal protection and internal system architecture, as well as to estimate its overall mass. In the present work, the methodology has been applied to the multi-disciplinary modelling and optimization of a reusable hybrid rocket- and ramjet-powered launch vehicle during both the ascent and re-entry phases of its mission.

ORCID iDs

Pescetelli, Fabrizio ORCID: https://orcid.org/0000-0002-4672-2039

Mogavero, Alessandro ORCID: https://orcid.org/0000-0003-3230-3463

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

Brown, Richard ORCID: https://orcid.org/0000-0003-2754-5871

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	48572
  Dates:	Date Event 16 June 2014 Published
  Keywords:	robust design optimisation, reusable launch vehicle, aerothermodynamic design, modelling and simulation, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering, Control and Optimization, Modelling and Simulation
  Subjects:	Technology > Mechanical engineering and machinery Technology > Motor vehicles. Aeronautics. Astronautics
  Department:	Faculty of Engineering > Mechanical and Aerospace Engineering
  Depositing user:	Pure Administrator
  Date deposited:	16 Jun 2014 13:25
  Last modified:	01 Nov 2023 12:25
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/48572