Evolutionary form-finding of tensegrity structures

被引:0
|
作者
Paul, Chandana [1 ]
Lipson, Hod [1 ]
Cuevas, Francisco J. Valero [1 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
来源
GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2 | 2005年
关键词
evolutionary algorithms; tensegrity structures; evolutionary robotics;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tensegrity structures are stable 3-dimensional mechanical structures which maintain their form due to an intricate balance of forces between disjoint rigid elements and continuous tensile elements. Tensegrity structures can give rise to lightweight structures with high strength-to-weight ratios and their utility has been appreciated in architecture, engineering and recently robotics. However, the determination of connectivity patterns of the rigid and tensile elements which lead to stable tensegrity is challenging. Available methods are limited to the use of heuristic guidelines, hierarchical design based on known components, or mathematical methods which can explore only a subset of the space. This paper investigates the use of evolutionary algorithms in the form-finding of tensegrity structures. It is shown that an evolutionary algorithm can be used to explore the space of arbitrary tensegrity structures which axe difficult to design using other methods, and determine new, non-regular forms. It suggests that evolutionary algorithms can be used as the basis for a general design methodology for tensegrity structures.
引用
收藏
页码:3 / 10
页数:8
相关论文
共 50 条
  • [31] Symmetrical reconfiguration of tensegrity structures
    Sultan, C
    Corless, M
    Skelton, RE
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2002, 39 (08) : 2215 - 2234
  • [32] On orthotropic properties of tensegrity structures
    Al Sabouni-Zawadzka, Anna
    Gilewski, Wojciech
    XXV POLISH - RUSSIAN - SLOVAK SEMINAR -THEORETICAL FOUNDATION OF CIVIL ENGINEERING, 2016, 153 : 887 - 894
  • [33] Path planning for the deployment of tensegrity structures
    Pinaud, JP
    Masic, M
    Skelton, RE
    SMART STRUCTURES AND MATERIALS 2003: MODELING, SIGNAL PROCESSING, AND CONTROL, 2003, 5049 : 436 - 447
  • [34] Shape memory effect in tensegrity structures
    Defossez, M
    MECHANICS RESEARCH COMMUNICATIONS, 2003, 30 (04) : 311 - 316
  • [35] Path planning for active tensegrity structures
    Porta, Josep M.
    Hernandez-Juan, Sergi
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2016, 78-79 : 47 - 56
  • [36] 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
  • [37] A novel torque application method for tensegrity structures
    Cao, Ziying
    Luo, Ani
    Liu, Heping
    Feng, Yaming
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2024, 52 (10) : 7864 - 7885
  • [38] Design and Health Monitoring of Tensegrity Structures: An Overview
    Aswal, Neha
    Sen, Subhamoy
    RELIABILITY, SAFETY AND HAZARD ASSESSMENT FOR RISK-BASED TECHNOLOGIES, 2020, : 523 - 533
  • [39] Geometric and material nonlinear analysis of tensegrity structures
    Hoang Chi Tran
    Jaehong Lee
    Acta Mechanica Sinica, 2011, 27 : 938 - 949
  • [40] Developing intelligent tensegrity structures with stochastic search
    Shea, K
    Fest, E
    Smith, IFC
    ADVANCED ENGINEERING INFORMATICS, 2002, 16 (01) : 21 - 40