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] Form-finding of tensegrity structures via rank minimization of force density matrix
    Wang, Yafeng
    Xu, Xian
    Luo, Yaozhi
    ENGINEERING STRUCTURES, 2021, 227
  • [32] A Monte Carlo form-finding method for large scale regular and irregular tensegrity structures
    Li, Yue
    Feng, Xi-Qiao
    Cao, Yan-Ping
    Gao, Huajian
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2010, 47 (14-15) : 1888 - 1898
  • [33] An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network
    Zhongbo Sun
    Liming Zhao
    Keping Liu
    Long Jin
    Junzhi Yu
    Chunxu Li
    Neural Computing and Applications, 2022, 34 : 6053 - 6066
  • [34] Beyond Representation Real Time Form Finding of Tensegrity Structures with 3D 'ompressed' Components
    Frumar, Jerome
    Zhou, Yiyi
    ECAADE 2009: COMPUTATION: THE NEW REALM OF ARCHITECTURAL DESIGN, 2009, : 21 - 30
  • [36] A Genetic Algorithm Based Form-Finding for Tensegrity Structure
    Yamamoto, M.
    Gan, B. S.
    Fujita, K.
    Kurokawa, J.
    PROCEEDINGS OF THE TWELFTH EAST ASIA-PACIFIC CONFERENCE ON STRUCTURAL ENGINEERING AND CONSTRUCTION (EASEC12), 2011, 14
  • [38] A fully automatic group selection for form-finding process of truncated tetrahedral tensegrity structures via a double-loop genetic algorithm
    Lee, Seunghye
    Gan, Buntara Sthenly
    Lee, Jaehong
    COMPOSITES PART B-ENGINEERING, 2016, 106 : 308 - 315
  • [39] Finding member connectivities and nodal positions of tensegrity structures based on force density method and mixed integer nonlinear programming
    Xu, Xian
    Wang, Yafeng
    Luo, Yaozhi
    ENGINEERING STRUCTURES, 2018, 166 : 240 - 250
  • [40] Growing Form-Filling Tensegrity Structures using Map L-Systems
    Rieffel, John
    Lipson, Hod
    Valero-Cuevas, Francisco J.
    GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2007, : 1063 - 1063