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Form-finding of tensegrity structures based on graph neural networks

Author(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)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 15, v. 27
Page(s): 2664-2690
DOI: 10.1177/13694332241276051
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/13694332241276051.
  • About this
    data sheet
  • Reference-ID
    10799146
  • Published on:
    23/09/2024
  • Last updated on:
    10/11/2024
 
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