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Abstract
This paper proposes a multi-fidelity and multi-disciplinary framework that combines low- and high-fidelity aerothermodynamics, thermal analysis, flight dynamics, and structural analysis in a modular approach to achieve a favourable trade-off between cost and accuracy. The novelty in the current study is two-fold: one is to simulate a more accurate destructive re-entry process over using a prescribed altitude trigger for fragmentation, and the other is to implement automatic fidelity switches between high- and low-fidelity models for the aerothermodynamics based on the shock-envelope approximation of Billig's formulation. For the high-fidelity flow modelling, the open-source SU2-NEMO code is used to solve the slip to continuum regimes while the SPARTA-DSMC solver is used for transitional and free-molecular regimes. To estimate the fragmentation altitude, a linear structural analysis of objects modelled as joints are continually carried out using the FEniCS finite elements solver. A temperature-dependent von Mises yield criterion is used to identify failure in joints. The software framework, TITAN Transatmospheric Flight Simulation, is applied to the ESA ATV re-entry and fragmentation test case.
Original language | English |
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Number of pages | 13 |
Publication status | Published - 19 Sep 2022 |
Event | 73rd International Astronautical Congress 2022 - Paris, France Duration: 18 Sep 2022 → 22 Sep 2022 |
Conference
Conference | 73rd International Astronautical Congress 2022 |
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Abbreviated title | IAC 2022 |
Country/Territory | France |
City | Paris |
Period | 18/09/22 → 22/09/22 |
Keywords
- re-entry
- fragmentation
- space debris
- atmospheric re-entry
- multi-fidelity
- design for demise
- astronautics
Fingerprint
Dive into the research topics of 'Multi-fidelity and multi-disciplinary approach for the accurate simulation of atmospheric re-entry'. Together they form a unique fingerprint.Projects
- 2 Finished
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Breaking up is never easy: Fast determination of satellite re-entry and fragmentation ( NSTP)
Maddock, C., Fossati, M. & Vasile, M.
15/11/21 → 31/03/22
Project: Research
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Stardust-R (Stardust Reloaded) H2020 MCSA ITN 2018
Vasile, M., Feng, J., Fossati, M., Maddock, C., Minisci, E. & Riccardi, A.
European Commission - Horizon 2020
1/01/19 → 31/12/22
Project: Research