2022
DOI: 10.1016/j.compstruc.2021.106731
|View full text |Cite
|
Sign up to set email alerts
|

Novel machine learning approach for shape-finding design of tree-like structures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 24 publications
0
2
0
Order By: Relevance
“…To meet the requirements of both calculation efficiency and calculation accuracy, the construction procedure could be divided into a certain number of static cases. In this case, the whole analysis of the nonlinear dynamic finite element model [ 24 ] includes the following steps. Establish a numerical model that conforms to the structural state before tensioning.…”
Section: The Improved Nonlinear Dynamic Finite Element Methods (Impro...mentioning
confidence: 99%
See 1 more Smart Citation
“…To meet the requirements of both calculation efficiency and calculation accuracy, the construction procedure could be divided into a certain number of static cases. In this case, the whole analysis of the nonlinear dynamic finite element model [ 24 ] includes the following steps. Establish a numerical model that conforms to the structural state before tensioning.…”
Section: The Improved Nonlinear Dynamic Finite Element Methods (Impro...mentioning
confidence: 99%
“…Currently, the shape-finding analysis of cable-supported structures in the construction process mostly focuses on conventional planar, folded, circular, elliptical or parallel shapes, and many theories and methods have been proposed, e.g., a dynamic relaxation method by Motro et al [ 17 ], a force-density method by Schek [ 18 ], a nonlinear force method by Luo and Shen [ 19 ], a nonlinear force density method by Koohestani [ 20 ], a nonlinear dynamic finite element method by Ding et al [ 21 ], a double singular value decomposition method without changing the predefined shape by Zhou et al [ 22 ], a catenary equation-based component force balancing method by Jiang et al [ 23 ], and a novel machine learning approach by Du et al [ 24 ]. By solving the noncompatibility problem between cable and beam elements, Nie et al [ 25 ] coupled the cable network and supporting frame to accurately model the real equilibrium state in an optimization model and derived the linear form for the determination of the free node coordinates from systematic equilibrium equations.…”
Section: Introductionmentioning
confidence: 99%
“…"Advancements in Topology Optimization and Its Application in Structural Design" by Du W, (2022) [1] explores the evolution of topology optimization techniques and their increasing application in complex structural designs. The study provides a comprehensive overview of algorithmic improvements and practical applications in architecture and engineering.…”
Section: Previous Studiesmentioning
confidence: 99%