Structural Engineering and Mechanics

  • 제29권2호
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  • Pages.223-235
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  • 2008
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Design of tensegrity structures using artificial neural networks

  • Panigrahi, Ramakanta (Department of Civil Engineering, Indian Institute of Technology Delhi) ;
  • Gupta, Ashok (Department of Civil Engineering, Indian Institute of Technology Delhi) ;
  • Bhalla, Suresh (Department of Civil Engineering, Indian Institute of Technology Delhi)
  • 투고 : 2007.05.03
  • 심사 : 2008.02.18
  • 발행 : 2008.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

This paper focuses on the application of artificial neural networks (ANN) for optimal design of tensegrity grid as light-weight roof structures. A tensegrity grid, 2 m ${\times}$ 2 m in size, is fabricated by integrating four single tensegrity modules based on half-cuboctahedron configuration, using galvanised iron (GI) pipes as struts and high tensile stranded cables as tensile elements. The structure is subjected to destructive load test during which continuous monitoring of the prestress levels, key deflections and strains in the struts and the cables is carried out. The monitored structure is analyzed using finite element method (FEM) and the numerical model verified and updated with the experimental observations. The paper then explores the possibility of applying ANN based on multilayered feed forward back propagation algorithm for designing the tensegrity grid structure. The network is trained using the data generated from a finite element model of the structure validated through the physical test. After training, the network output is compared with the target and reasonable agreement is found between the two. The results demonstrate the feasibility of applying the ANNs for design of the tensegrity structures.

키워드

참고문헌

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피인용 문헌

  1. Damage assessment of tensegrity structures using piezo transducers vol.48, pp.6, 2013, https://doi.org/10.1007/s11012-012-9678-3
  2. Explicit expressions for inelastic design quantities in composite frames considering effects of nearby columns and floors vol.64, pp.4, 2008, https://doi.org/10.12989/sem.2017.64.4.437