Exploiting self sensing features of carbon nanotubes composite structures for active vibration control

The paper investigates the opportunity of exploiting self-sensing properties of carbon nanotubes to generate a feedback signal, representative of the vibratory state of the structure, to actively suppress vibrations. Due to the so called “tunneling effect”, carbon nanotubes (CNT) embedded in the matrix of a composite structure realize a distributed sensor. This means there is a no more a sensor, but, in fact, it is the same structure that is able to provide information on its state on vibration. The paper demonstrates it is possible to exploit electrical signal related to the deformation of the structures to estimate vibration and to design suitable control forces to suppress them.

[1]  Mark J. Schulz,et al.  A carbon nanotube strain sensor for structural health monitoring , 2006 .

[2]  M. Balas Active control of flexible systems , 1978 .

[3]  V. Shanov,et al.  Delamination detection with carbon nanotube thread in self-sensing composite materials , 2010 .

[4]  Halil Ceylan,et al.  Novel nanocomposite technologies for dynamic monitoring of structures: a comparison between cement-based embeddable and soft elastomeric surface sensors , 2014 .

[5]  T. Chou,et al.  Carbon Nanotube Networks: Sensing of Distributed Strain and Damage for Life Prediction and Self Healing , 2006 .

[6]  D. Inman,et al.  A study on the vibration-based self-monitoring capabilities of nano-enriched composite laminated beams , 2016 .

[7]  M. Balas Direct Velocity Feedback Control of Large Space Structures , 1979 .

[8]  Leonard Meirovitch,et al.  A comparison of control techniques for large flexible systems , 1983 .

[9]  Anindya Ghoshal,et al.  VIBRATION SUPPRESSION USING A LASER VIBROMETER AND PIEZOCERAMIC PATCHES , 2000 .

[10]  Ferruccio Resta,et al.  A new approach to the synthesis of modal control laws in active structural vibration control , 2013 .

[11]  Inderjit Chopra,et al.  Review of State of Art of Smart Structures and Integrated Systems , 2002 .

[12]  David J. Wagg,et al.  Adaptive Structures: Engineering Applications , 2007 .

[13]  Ranjan Vepa Dynamics of Smart Structures , 2010 .

[14]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[15]  S. White,et al.  Stress analysis of fiber-reinforced composite materials , 1997 .