Techno Press
Techno Press

Smart Structures and Systems
  Volume 19, Number 6, June 2017 , pages 633-641
DOI: https://doi.org/10.12989/sss.2017.19.6.633
 


Modeling techniques for active shape and vibration control of macro-fiber composite laminated structures
Shun-Qi Zhang, Min Chen, Guo-Zhong Zhao, Zhan-Xi Wang, Rüdiger Schmidt and Xian-Sheng Qin

 
Abstract
    The complexity of macro-fiber composite (MFC) materials increasing the difficulty in simulation and analysis of MFC integrated structures. To give an accurate prediction of MFC bonded smart structures for the simulation of shape and vibration control, the paper develops a linear electro-mechanically coupled static and dynamic finite element (FE) models based on the first-order shear deformation (FOSD) hypothesis. Two different types of MFCs are modeled and analyzed, namely MFC-d31 and MFC-d33, in which the former one is dominated by the d31 effect, while the latter one by the d33 effect. The present model is first applied to an MFC-d33 bonded composite plate, and then is used to analyze both active shape and vibration control for MFC-d31/-d33 bonded plate with various piezoelectric fiber orientations.
 
Key Words
    macro-fiber composite; smart structures; dynamic analysis; piezoelectric; laminated structures
 
Address
Shun-Qi Zhang: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China;
State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China
Min Chen: Department of Industrial Design, Xi\'an Jiaotong - Liverpool University, Suzhou 215123, P.R. China
Guo-Zhong Zhao: State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, P.R. China
Zhan-Xi Wang and Xian-Sheng Qin: School of Mechanical Engineering, Northwestern Polytechnical University, Xi\'an 710072, P.R. China
Rüdiger Schmidt: Institute of Structural Mechanics and Lightweight Design, RWTH Aachen University, Aachen 52062, Germany




 

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