Inherent properties of smart tensegrity structures

22Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.

Abstract

The present paper discusses different aspects of the structural control of smart systems with a focus on tensegrity structures. Special attention is paid to unique features of tensegrity systems, referred to by the authors as inherent, which are induced by infinitesimal mechanisms that are balanced with self-stress states. The following inherent properties are defined: self-control, self-diagnosis, self-repair and self-adjustment (active control). All these features are thoroughly described and illustrated on a series of analyses performed on numerical models of various tensegrity systems. The presented examples of the analyses of different tensegrity modules and multi-module structures show that it is possible to control their properties by adjusting the pre-stressing forces. Moreover, it is proven that the adjustment of self-stress forces in a tensegrity system allows one to repair the damaged structure by compensating the damaged member.

References Powered by Scopus

Tensegrity systems

624Citations
N/AReaders
Get full text

Tensegrity: Structural Systems for the Future

407Citations
N/AReaders
Get full text

First-order infinitesimal mechanisms

208Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter

16Citations
N/AReaders
Get full text

Soft and stiff simplex tensegrity lattices as extreme smart metamaterials

16Citations
N/AReaders
Get full text

Accumulative traction-hoisting construction technology of a semi-rigid steel batten cable dome

11Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Al Sabouni-Zawadzka, A., & Gilewski, W. (2018). Inherent properties of smart tensegrity structures. Applied Sciences (Switzerland), 8(5). https://doi.org/10.3390/app8050787

Readers over time

‘18‘20‘21‘22‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

64%

Researcher 3

27%

Lecturer / Post doc 1

9%

Readers' Discipline

Tooltip

Engineering 10

100%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0