KSCE Journal of Civil Engineering

, Volume 23, Issue 5, pp 2136–2147 | Cite as

A New Genetic Algorithm-based Topology Optimization Method of Tensegrity Tori

  • Shuo Ma
  • Xing-Fei YuanEmail author
  • Sheng-Da Xie
Structural Engineering


This study mainly focuses on a new Genetic Algorithm (GA)-based topology optimization method of tensegrity tori with the ring stiffness set as the optimization objective. To do the structural analysis of self-equilibrated tensegrity tori, a modified stiffness matrix based form-finding method is introduced. A form finding procedure is adopted to generate new tensegrity tori in constant mass with only topology and rest length given. An innovative encoding scheme in GA is proposed to represent tensegrity tori with new sets of topology, prestress, and configuration. Numerical examples demonstrate that the proposed method is efficient in the topology optimization of tensegrity tori with high ring stiffness.


topology optimization tensegrity tori form-finding genetic algorithm 


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Copyright information

© Korean Society of Civil Engineers 2019

Authors and Affiliations

  1. 1.College of Civil Engineering and ArchitectureZhejiang UniversityHangzhouChina

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