Inherent Properties of Smart Tensegrity Structures

Anna Al Sabouni-Zawadzka , Wojciech Jerzy Gilewski


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 .
Author Anna Al Sabouni-Zawadzka (FCE / ICE)
Anna Al Sabouni-Zawadzka,,
- The Institute of Civil Engineering
, Wojciech Jerzy Gilewski (FCE / ICE)
Wojciech Jerzy Gilewski,,
- The Institute of Civil Engineering
Journal seriesApplied Sciences-Basel, ISSN 2076-3417
Issue year2018
Publication size in sheets0.65
Keywords in English smart structures; tensegrity; self-control; self-diagnosis; self-repair; self-adjustment; active control; inherent properties
ASJC Classification1507 Fluid Flow and Transfer Processes; 1706 Computer Science Applications; 1508 Process Chemistry and Technology; 2200 General Engineering; 3105 Instrumentation; 2500 General Materials Science
Languageen angielski
applsci-08-00787.pdf 3.8 MB
Score (nominal)25
Score sourcejournalList
ScoreMinisterial score = 25.0, 21-02-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus Citations = 2; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.985; WoS Impact Factor: 2018 = 2.217 (2) - 2018=2.287 (5)
Citation count*3 (2020-05-05)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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