Design of ultra-thin composite deployable shell structures through machine learning
| Auteur(s): |
Miguel Bessa
Sergio Pellegrino |
|---|---|
| Médium: | papier de conférence |
| Langue(s): | anglais |
| Conférence: | Interfaces: Architecture, Engineering, Science, Annual Meeting of the International Association of Shell & Spatial Structures (IASS), Hamburg, 25-27 September 2017 |
| Publié dans: | Interfaces: Architecture . Engineering . Science |
| Année: | 2017 |
| Abstrait: | A data-driven computational framework is applied for the design of optimal ultra-thin deployable structures with improved buckling behavior. High-fidelity computational analyses and machine learning are used to construct design charts that are shown to guide the structural design. |
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sur cette fiche - Reference-ID
10077840 - Publié(e) le:
20.04.2018 - Modifié(e) le:
05.03.2019
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