FORM FINDING OF TENSEGRITY STRUCTURES USING FINITE ELEMENTS AND MATHEMATICAL PROGRAMMING

被引:20
|
作者
Klinka, Katalin K. [1 ]
Arcaro, Vinicius F. [2 ]
Gasparini, Dario [3 ]
机构
[1] Budapest Univ Technol & Econ, Dept Struct Engn, H-1111 Budapest, Hungary
[2] Inst Membrane & Shell Technol, D-06846 Dessau, Germany
[3] Case Western Reserve Univ, Dept Civil Engn, Cleveland, OH 44106 USA
关键词
cable; element; line; minimization; nonlinear; optimization; tensegrity;
D O I
10.2140/jomms.2012.7.899
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We show that the minimization of total potential energy is the general principle behind the well-known rule of maximizing some lengths of a truss mechanism to define a tensegrity. Moreover, the latter rule is a special case, due to the usual high values of the modulus of elasticity. An innovative mathematical model is presented for finding the form of tensegrity structures, based on the finite element method and on mathematical programming. A special line element that shows constant stress for any displacement of its nodes is used to define a prestressed equilibrium configuration. Form finding is formulated as an unconstrained nonlinear programming problem, where the objective function is the total potential energy and the displacements of the nodal points are the unknowns. A connection is made with the geometric shape minimization problem, defined by a constrained nonlinear programming problem. A quasi-Newton method is used, which avoids the evaluation of the tangent stiffness matrix.
引用
收藏
页码:899 / 907
页数:9
相关论文
共 50 条
  • [31] A computational framework for the form-finding and design of tensegrity structures
    Koohestani, K.
    MECHANICS RESEARCH COMMUNICATIONS, 2013, 54 : 41 - 49
  • [32] Form-finding for tensegrity structures based on the equilibrium equation
    Cao, Ziying
    Luo, Ani
    Feng, Yaming
    Liu, Heping
    MECHANICS RESEARCH COMMUNICATIONS, 2024, 136
  • [33] Form-finding of tensegrity structures subjected to geometrical constraints
    Department of Architecture and Architectural Engineering, Kyoto University, Nishikyo, Kyoto 615-8540, Japan
    Int J Space Struct, 2006, 4 (183-195):
  • [34] Advanced automatic grouping for form-finding of tensegrity structures
    Lee, Seunghye
    Lee, Jaehong
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 55 (03) : 959 - 968
  • [35] Deep Neural Networks for Form-Finding of Tensegrity Structures
    Lee, Seunghye
    Lieu, Qui X.
    Vo, Thuc P.
    Lee, Jaehong
    MATHEMATICS, 2022, 10 (11)
  • [36] Advanced automatic grouping for form-finding of tensegrity structures
    Seunghye Lee
    Jaehong Lee
    Structural and Multidisciplinary Optimization, 2017, 55 : 959 - 968
  • [37] Form-finding method for multi-mode tensegrity structures using extended force density method by grouping elements
    Cai, Jianguo
    Wang, Xinyu
    Deng, Xiaowei
    Feng, Jian
    COMPOSITE STRUCTURES, 2018, 187 : 1 - 9
  • [38] A resource-efficient form-finding approach to tensegrity structures
    Liu, Heping
    Sanaullah
    Vumiliya, Angelo
    Luo, Ani
    ENGINEERING COMPUTATIONS, 2024, 41 (01) : 1 - 17
  • [39] Stiffness matrix based form-finding method of tensegrity structures
    Zhang, Li-Yuan
    Li, Yue
    Cao, Yan-Ping
    Feng, Xi-Qiao
    ENGINEERING STRUCTURES, 2014, 58 : 36 - 48
  • [40] Form-finding of tensegrity structures based on graph neural networks
    Shao, Shoufei
    Guo, Maozu
    Zhang, Ailin
    Zhang, Yanxia
    Li, Yang
    Li, Zhuoxuan
    ADVANCES IN STRUCTURAL ENGINEERING, 2024, 27 (15) : 2664 - 2690