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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Composite Structuresarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Composite Structures
Article . 2017 . Peer-reviewed
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On the analytical form-finding of tensegrities

Authors: K. Koohestani;

On the analytical form-finding of tensegrities

Abstract

Abstract We propose a computationally efficient platform for the analytical form-finding of tensegrity structures. The platform suggested utilizes the well-known Faddeev-LeVerrier algorithm to generate required relationships between force densities of elements providing explicit analytical conditions of self-stressed states. The method only requires sum and multiplications as major computational operations and bypasses complicated triangular factorizations and eigenvalue decompositions of the symbolic force density matrix. This makes our approach very efficient while enables us to employ powerful programs with symbolic math capabilities for the analytical form-finding. The viability and efficiency of the proposed method are demonstrated through examples of the analytical form-finding of some well-known tensegrities.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Top 10%
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