Comparison between experimental tests and numerical simulations carried out on a tensegrity minigrid

Dubé, Jean François; Angellier, Nicolas; Crosnier, Bernard

doi:10.1016/j.engstruct.2007.12.010

Cited by 19 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moussa et al (2001) showed that the fundamental modes of simplex type modules are those corresponding to internal mechanisms and proposed a direct relation between self-stress and first natural frequency. Dubé et al (2008), for a tensegrity minigrid, as well as Tibert and Pellegrino (2003), for a deployable tensegrity mast, obtained similar results.…”

Section: Analytical Formulationsupporting

confidence: 85%

“…Masic and Skelton (2006) used a linearized dynamic model to enhance the dynamic control performance of a tensegrity structure. Dubé et al (2008) presented a comparative study between experimental tests and numerical simulations carried out on a tensegrity minigrid considering static as well as dynamic loading. Recently, Tan and Pellegrino (2008) investigated the nonlinear vibration of a cable-stiffened pantographic deployable structure and showed that the system resonant frequencies are related to the level of active cable pretension.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic behavior and vibration control of a tensegrity structure

Ali

Smith

2010

International Journal of Solids and Structures

110

View full text Add to dashboard Cite

a b s t r a c tTensegrities are lightweight space reticulated structures composed of cables and struts. Stability is provided by the self-stress state between tensioned and compressed elements. Tensegrity systems have in general low structural damping, leading to challenges with respect to dynamic loading. This paper describes dynamic behavior and vibration control of a full-scale active tensegrity structure. Laboratory testing and numerical simulations confirmed that control of the self-stress influences the dynamic behavior. A multi-objective vibration control strategy is proposed. Vibration control is carried out by modifying the self-stress level of the structure through small movement of active struts in order to shift the natural frequencies away from excitation. The PGSL stochastic search algorithm successfully identifies good control commands enabling reduction of structural response to acceptable levels at minimum control cost.

show abstract

Section: Analytical Formulationsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Dynamic behavior and vibration control of a tensegrity structure

Ali

Smith

2010

International Journal of Solids and Structures

110

View full text Add to dashboard Cite

show abstract

“…The issue of the effective measurement of the self-stress state of a tensegrity structure is treated by Dubé et al (2008), using direct and indirect measurement methods. The monitored structure consists of a tensegrity minigrid featuring 24 struts and 57 cables.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of the softening–stiffening response of tensegrity prisms under compressive loading

Amendola

Carpentieri

Oliveira

et al. 2014

Composite Structures

106

View full text Add to dashboard Cite

The present paper is concerned with the formulation of new assembly methods of bi-material tensegrity prisms, and the experimental characterization of the compressive response of such structures. The presented assembly techniques are easy to implement, including a string-first approach in the case of ordinary tensegrity prisms, and a basefirst approach in the case of systems equipped with rigid bases. The experimental section shows that the compressive response of tensegrity prisms switches from stiffening to softening under large displacements, in dependence on the current values of suitable geometric and prestress variables. Future research lines regarding the mechanical modeling of tensegrity prisms and their use as building blocks of nonlinear periodic lattices and acoustic metamaterials are discussed.

show abstract

“…Moreover, tensegrities have some unique features that result from the infinitesimal mechanisms, which are stabilized by self-stress forces. It is possible to control their static and dynamic properties by adjusting the pre-stressing forces [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Inherent Properties of Smart Tensegrity Structures

Sabouni-Zawadzka¹,

Gilewski²

2018

Applied Sciences

View full text Add to dashboard Cite

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.

show abstract

Comparison between experimental tests and numerical simulations carried out on a tensegrity minigrid

Cited by 19 publications

References 9 publications

Dynamic behavior and vibration control of a tensegrity structure

Dynamic behavior and vibration control of a tensegrity structure

Experimental investigation of the softening–stiffening response of tensegrity prisms under compressive loading

Inherent Properties of Smart Tensegrity Structures

Contact Info

Product

Resources

About