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Research Article

On self-equilibrium state of V-expander tensegrity beam-like grids  

Pilade Foti, Aguinaldo Fraddosio, Salvatore Marzano, Gaetano Pavone*, Mario Daniele Piccioni

Dipartimento di Scienze dell’Ingegneria Civile e dell’Architettura, Politecnico di Bari, Bari, Italia

Keywords

Abstract


Tensegrity system,


Self-equilibrium,


Force density method,

Numerical methods


Tensegrity structures are an innovative class of lightweight structures, which have gained the interest of researchers in many different fields, including but not limited to engineering. In particular, such interest is due to their aesthetic value, their large stiffness-to-mass ratio, the possible deployability, together to their reliability and controllability. Tensegrity structures, made of struts in compression and cables necessarily in tension, are innovative structures by itself: they are similar only in appearance to conventional pin-joint structures (trusses), and their mechanical behavior is strongly related to initial feasible self-stress states induced in absence of external loads. In particular, from a kinematical point of view, these self-stress states avoid the activation of possible infinitesimal mechanisms. In this paper, we study an innovative class of tensegrity beam-like grids, obtained by a suitable assembly of three elementary V-Expander tensegrity cells along a longitudinal axis (named x-axis) in the three-dimensional space. In particular, by means of a numerical study, we analyze the feasible self-stress states for seven tensegrity beam-like grids, with increasing degree of complexity, made by an arrangement of V-Expander elementary cells. Moreover, we analyze the influence on the feasible self-stress states of the addition of elements starting from the simplest V-Expander tensegrity configuration.

 © 2017 MIM Research Group. All rights reserved.

DOI: http://dx.doi.org/10.17515/resm2016.81st0727                          Full Text

LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


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LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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