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High-fidelity methods for the prediction of ice debris trajectories

Héloïse Beaugendre 1 Léo Nouveau 2 Michel Costes 3 Christelle Wervaecke 3 Thomas Kilian 4 
1 CARDAMOM - Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest
2 IMB - Institut de Mathématiques de Bordeaux
3 DAAA, ONERA, Université Paris Saclay (COmUE) [Meudon]
4 DLR - Deutsches Zentrum für Luft- und Raumfahrt
Abstract : Ice release is of concern to aircraft manufacturers due to the potential damage that the ice debris can cause on aircraft components. This raises the need for accurate ice trajectory simulation tools to support pre-design, design and certification phases while improving cost efficiency. High-fidelity models involve fully coupled time-accurate aerodynamic and flight mechanics simulations and thus require the use of emerging simulation tools, such as approaches based on immersed boundary methods or chimera grids. In the paper, the developments of current simulations tools for ice block trajectories performed in the scope of the recently completed research project STORM are described and validated against a STORM experimental date base of trajectories created by the German Aerospace Center (DLR) in collaboration with the German-Dutch Wind Tunnel foundation/
Keywords : ADVECTION RESIDUAL DISTRIBUTION DIFFUSION
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Conference papers
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https://hal.inria.fr/hal-01788056
Contributor : Héloïse Beaugendre Connect in order to contact the contributor
Submitted on : Tuesday, May 8, 2018 - 11:52:17 AM
Last modification on : Friday, January 21, 2022 - 3:11:17 AM

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ONERA | CNRS | INRIA | INSMI | INRIA2 | TDS-MACS | UNIV-PARIS-SACLAY | PLAFRIM | GS-ENGINEERING

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Héloïse Beaugendre, Léo Nouveau, Michel Costes, Christelle Wervaecke, Thomas Kilian. High-fidelity methods for the prediction of ice debris trajectories. 2018 AIAA Aerospace Sciences Meeting, Jan 2018, Kissimmee, United States. ⟨10.2514/6.2018-1559⟩. ⟨hal-01788056⟩

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