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Static behavior and vibration control of piezoelectric cantilever composite plates and comparison with experiments AITranslate

Hanoi University of Technology; Hanoi University of Technology
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Publisher: Elsevier
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Abstract AITranslate

A finite element (FE) model based on the First-Order Shear Deformation Theory (FSDT) is developed for the static flexural shape and vibration control of a glass fibre/polyester composite plate bonded with piezoelectric actuator and sensor patches. The piezoelectric’s mass and stiffness are taken into account in the present model. A simple negative velocity feedback control algorithm coupling direct and converse piezoelectric effects are used to actively control the transient response of an integrated structure through a closed control loop. The numerical results are presented with discussion and in good agreement with actual experiments.

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DOI:https://doi.org/10.1016/j.commatsci.2010.03.016

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Citation Information:

A finite element (FE) model based on the First-Order Shear Deformation Theory (FSDT) is developed for the static flexural shape and vibration control of a glass fibre/polyester composite plate bonded with piezoelectric actuator and sensor patches. The piezoelectric’s mass and stiffness are taken into account in the present model. A simple negative velocity feedback control algorithm coupling direct and converse piezoelectric effects are used to actively control the transient response of an integrated structure through a closed control loop. The numerical results are presented with discussion and in good agreement with actual experiments.

quote

GB/T 7714-2015 [1] Tran Ich Thinh, Le Kim Ngoc. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.03.016.
MLA [1] Tran Ich Thinh, and Le Kim Ngoc. Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.03.016.
APA [1] Tran Ich Thinh, & Le Kim Ngoc. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.03.016
IEEE [1] Tran Ich Thinh and Le Kim Ngoc, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.03.016.