scholarly journals The potential of active fiber composites made from piezoelectric fibers for actuating and sensing applications in structural health monitoring

2005 ◽  
Vol 38 (5) ◽  
pp. 561-567 ◽  
Author(s):  
A. J. Brunner ◽  
M. Barbezat ◽  
Ch. Huber ◽  
P. H. Flüeler
2000 ◽  
Author(s):  
Mark J. Schulz ◽  
Mannur J. Sundaresan ◽  
Anindya Ghoshal ◽  
Perngjin F. Pai

2015 ◽  
Vol 19 ◽  
pp. 307-312 ◽  
Author(s):  
Mikhail Burkov ◽  
Sergey Panin ◽  
Pavel Lyubutin ◽  
Alexander Eremin ◽  
Pavlo Maruschak ◽  
...  

2007 ◽  
Vol 129 (6) ◽  
pp. 739-751 ◽  
Author(s):  
Ajay Raghavan ◽  
Carlos E. S. Cesnik

Anisotropic piezocomposite transducers (APTs), such as macro fiber composites and active fiber composites, have great potential to be used as structurally integrated transducers for guided-wave (GW) structural health monitoring. Their main advantages over conventional monolithic piezoceramic wafer transducers are mechanical flexibility, curved surface conformability, power efficiency, their ability to excite focused GW fields, and their unidirectional sensing capability as a GW sensor. In this paper, models are developed to describe excitation of GW fields by APTs in isotropic structures. The configurations explored are plane Lamb-wave fields in beams with rectangular cross-section, axisymmetric GW fields in cylinders, and 3-D GW fields in plates. The dynamics of the substrate and transducer are assumed uncoupled. The actuator is modeled as causing shear traction at the edges of the actuator’s active area along the fiber direction. The sensor is modeled as sensing the average extensional strain over the active area along the fiber direction. The work is unique in that the formulation is based on 3-D elasticity, and no reduced-order structural assumptions are used. This is crucial to model multimodal GW propagation, especially at high frequencies. A formulation is also proposed to model the behavior of APTs as GW sensors. Finally, results from experimental tests to examine the validity of the models are discussed and the possible sources of error are examined in detail.


Author(s):  
Zeaid Hasan ◽  
Fares Hasweh ◽  
Omar Abu Al-Nadi ◽  
Ghassan Atmeh

Structural health monitoring (SHM) is the process of implementing a damage identification strategy which can be utilized in several applications including aerospace, civil and mechanical engineering infrastructure. Damage is defined as changes to the material and/or geometric properties of these systems. These changes adversely affect the current or future performance of the system. In order to identify damage in a suitable and meaningful manner, the damaged state is compared with other usually undamaged states. This study focuses on a structural health monitoring (SHM) system based on detecting shifts in natural frequencies of the structure. This structural health monitoring system incorporates a low power wireless transmitter that sends a warning signal when damage is detected in a structure. The damage detection technique is implemented on composite structures which are widely used in many applications including aeronautical and aerospace. An automated damage detection system capable of providing information of damage locations based on the finite element analysis and able to compare damage events to other historical data is also proposed in this paper and initially implemented using a microcontroller chip. Moreover, a control methodology using piezoelectric fiber composites, such as active fiber composites (AFCs) and microfiber composites (MFCs), is included as part of the system for vibration suppression purposes. The advantages of using piezoelectric fiber composite actuators are their high performance, flexibility, and durability when compared with the traditional piezoceramic (PZT) actuators. The proposed system may be implemented in many structural components such as aircraft frames and bridges. This SHM technology may help replace the current time-based maintenance scheme with a condition-based one. The condition-based maintenance scheme relies on the ability to monitor the condition of the system and supply information of damage detection to allow a corrective action to be taken.


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