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research-article

Active vibration control of a doubly curved composite shell stiffened by beams bonded with discrete macro fibre composite sensor/actuator pairs

[+] Author and Article Information
Ali Hossain Alewai Daraji

Faculty of Engineering, Environment and Computing, Coventry University, UK
ac7202@coventry.ac.uk

Jack M. Hale

School of Mechanical and Systems Engineering, Newcastle University, UK
jack.hale@ncl.ac.uk

Ye Jianqiao

Engineering Department, Lancaster University, UK
j.ye2@lancaster.ac.uk

1Corresponding author.

ASME doi:10.1115/1.4040669 History: Received September 21, 2017; Revised June 22, 2018

Abstract

Doubly curved stiffened shells are essential parts of many large-scale engineering structures, such as aerospace, automotive and marine structures. Optimisation of active vibration reduction has not been properly investigated for this important group of structures. This study develops a placement methodology for such structures under motion base and external force excitations to optimise the locations of piezoelectric sensor/actuator pairs and feedback gain using genetic algorithms for active vibration control. An objective function is developed in the placement methodology based on the maximization of sensor output voltage to optimise the locations of sensor/actuator pairs to attenuate several vibrations modes. The optimal control feedback gain is determined then based on the minimization of the linear quadratic index. A doubly curved composite shell stiffened by beams and bonded with discrete piezoelectric sensor/actuator pairs is modelled in this paper by first-order shear deformation theory using finite element method and Hamilton's principle. The proposed methodology is implemented first to investigate a cantilever composite shell to optimise four sensor/actuator pairs to attenuate the first six modes of vibration. The placement methodology is applied next to study a complex stiffened composite shell to optimise four sensor/actuator pairs to test the methodology effectiveness. The results of optimal sensor/actuator distribution are validated by convergence study in genetic algorithm program, ANSYS package and vibration reduction using optimal linear quadratic control scheme.

Copyright (c) 2018 by ASME
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