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Aerothermal databases and load predictions for Retro Propulsion-Assisted Launch Vehicles (RETALT)

Laureti, Mariasole and Karl, Sebastian (2022) Aerothermal databases and load predictions for Retro Propulsion-Assisted Launch Vehicles (RETALT). CEAS Space Journal, pp. 1-15. Springer. doi: 10.1007/s12567-021-00413-0. ISSN 1868-2502.

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Official URL: https://link.springer.com/article/10.1007%2Fs12567-021-00413-0


The assessment of thermal loads occurring on reusable launch vehicles during the entire trajectory is essential for the correct dimensioning of the thermal protection system. Due to the costs and limitations of ground-based testing for large-scale vehicles, these predictions rely intensively on numerical simulations (CFD). The need of aero-thermal databases, as a fast-response surrogate model for the aero-thermodynamic heating, arises from the practical impossibility of performing unsteady CFD analysis over the entire trajectory due to the large disparity of fluid mechanical and structural time scales. The construction of these databases is based on a representative set of CFD simulations which cover, at a minimum, the flight regimes with significant thermal loads. The aim of this paper is to analyse the results of these representative CFD simulations during both the ascent flight and atmospheric entry for the RETALT1 vehicle to show typical flow field phenomena occurring during these phases and the resulting heating patterns.

Item URL in elib:https://elib.dlr.de/148410/
Document Type:Article
Title:Aerothermal databases and load predictions for Retro Propulsion-Assisted Launch Vehicles (RETALT)
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Laureti, MariasoleUNSPECIFIEDhttps://orcid.org/0000-0001-5887-004XUNSPECIFIED
Karl, SebastianUNSPECIFIEDhttps://orcid.org/0000-0002-5558-6673UNSPECIFIED
Date:4 January 2022
Journal or Publication Title:CEAS Space Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 1-15
EditorsEmailEditor's ORCID iDORCID Put Code
Keywords:Reusable launch vehicle - Retro-propulsion - Aerothermal loads - CFD - RANS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Transportation
DLR - Research area:Raumfahrt
DLR - Program:R RP - Space Transportation
DLR - Research theme (Project):R - Reusable Space Systems and Propulsion Technology
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Spacecraft, GO
Deposited By: Laureti, Mariasole
Deposited On:27 Jan 2022 13:58
Last Modified:27 Jan 2022 13:58

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