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Form-finding of tensegrity structures based on graph neural networks

Auteur(s): ORCID (School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
ORCID (School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
Médium: article de revue
Langue(s): anglais
Publié dans: Advances in Structural Engineering
DOI: 10.1177/13694332241276051
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/13694332241276051.
  • Informations
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  • Reference-ID
    10799146
  • Publié(e) le:
    23.09.2024
  • Modifié(e) le:
    23.09.2024
 
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