Damage prediction of rear plate in Whipple shields based on machine learning method
A typical Whipple shield consists of double-layered plates with a certain gap. The space debris impacts the outer plate and is broken into a debris cloud (shattered, molten, vaporized) with dispersed energy and momentum, which reduces the risk of penetrating the bulkhead. In the realm of hyperveloci...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
KeAi Communications Co., Ltd.
2025-08-01
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| Col·lecció: | Defence Technology |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2214914725001060 |
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