Combining Dynamic Relaxation Method with Artificial Neural Networks to Enhance Simulation of Tensegrity Structures-Reference-Cited by-同舟云学术

Combining Dynamic Relaxation Method with Artificial Neural Networks to Enhance Simulation of Tensegrity Structures

Published:2003-05 Issue:5 Volume:129 Page:672-681
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Domer Bernd¹,Fest Etienne¹,Lalit Vikram²,Smith Ian F. C.³

Affiliation:

1. Research Assistant, Structural Engineering Institute, IMAC-IS-ENAC, EPFL, 1015 Lausanne, Switzerland.

2. Software Engineer, Geometric Software Solutions Company, Limited, Bombay, India.

3. Professor, Structural Engineering Institute, IMAC-IS-ENAC, 1015 Lausanne, EPFL, Switzerland.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9445%282003%29129%3A5%28672%29

Reference30 articles.

1. Bach K. Burkhardt B. and Otto F. (1988). “Seifenblasen Bubbles IL 18.” Universität Stuttgart Institut für leichte Flächentragwerke Karl Krämer Verlag Stuttgart.

2. Barnes M. R. (1977). “Form finding and analysis of tension space structures by dynamic relaxation.” PhD thesis The City University of London.

3. Form and stress engineering of tension structures.;Barnes M. R.;Struct. Eng. Rev.,1994

4. Buckminster Fuller's “Tensegrity” structures and Clerk Maxwell's rules for the construction of stiff frames

5. Fest E. Shea K. Domer B. and Smith I. F. C. (2003). “Adjustable tensegrity structures.” J. Struct. Eng. in press.

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