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Active Vibration Control of a Doubly Curved Composite Shell Stiffened by Beams Bonded With Discrete Macro Fiber Composite Sensor/Actuator Pairs

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Active Vibration Control of a Doubly Curved Composite Shell Stiffened by Beams Bonded With Discrete Macro Fiber Composite Sensor/Actuator Pairs. / Daraji, Ali Hossain Alewai; Hale, Jack M.; Ye, Jianqiao.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 140, No. 12, 2018.

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Daraji, Ali Hossain Alewai ; Hale, Jack M. ; Ye, Jianqiao. / Active Vibration Control of a Doubly Curved Composite Shell Stiffened by Beams Bonded With Discrete Macro Fiber Composite Sensor/Actuator Pairs. In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 2018 ; Vol. 140, No. 12.

Bibtex

@article{75fb116f58454bb7985b13a10484fc1a,
title = "Active Vibration Control of a Doubly Curved Composite Shell Stiffened by Beams Bonded With Discrete Macro Fiber Composite Sensor/Actuator Pairs",
abstract = "Doubly curved stiffened shells are essential parts of many large-scale engineering structures, such as aerospace, automotive and marine structures. Optimization 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 optimize the locations of discrete piezoelectric sensor/actuator pairs and feedback gain using genetic algorithms for active vibration control. In this study, fitness and objective functions are proposed based on the maximization of sensor output voltage to optimize the locations of discrete sensors collected with actuators to attenuate several vibrations modes. The optimal control feedback gain is determined thenbased 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 modeled in this paper by first-order shear deformation theory using finite element method and Hamilton{\textquoteright}s principle. The proposed methodology is implemented first to investigate a cantilever composite shell to optimize four sensor/actuator pairs to attenuate the first six modes of vibration. The placement methodology is applied next to study a complex stiffenedcomposite shell to optimize 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.",
keywords = "base excitation, composite, genetic algorithms, Sensor, stiffened shell, vibration control, Composite materials, Electric sensing devices, Genetic algorithms, Linear control systems, Offshore structures, Piezoelectric devices, Piezoelectric transducers, Piezoelectricity, Plates (structural components), Reduction, Sensors, Shear deformation, Shells (structures), Structural optimization, Vibration control, Active vibration controls, Active vibration reduction, Base excitation, External force excitation, First-order shear deformation theory, Large scale engineering structures, Linear quadratic control, Stiffened shells, Feedback",
author = "Daraji, {Ali Hossain Alewai} and Hale, {Jack M.} and Jianqiao Ye",
year = "2018",
doi = "10.1115/1.4040669",
language = "English",
volume = "140",
journal = "Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME",
issn = "0022-0434",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "12",

}

RIS

TY - JOUR

T1 - Active Vibration Control of a Doubly Curved Composite Shell Stiffened by Beams Bonded With Discrete Macro Fiber Composite Sensor/Actuator Pairs

AU - Daraji, Ali Hossain Alewai

AU - Hale, Jack M.

AU - Ye, Jianqiao

PY - 2018

Y1 - 2018

N2 - Doubly curved stiffened shells are essential parts of many large-scale engineering structures, such as aerospace, automotive and marine structures. Optimization 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 optimize the locations of discrete piezoelectric sensor/actuator pairs and feedback gain using genetic algorithms for active vibration control. In this study, fitness and objective functions are proposed based on the maximization of sensor output voltage to optimize the locations of discrete sensors collected with actuators to attenuate several vibrations modes. The optimal control feedback gain is determined thenbased 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 modeled 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 optimize four sensor/actuator pairs to attenuate the first six modes of vibration. The placement methodology is applied next to study a complex stiffenedcomposite shell to optimize 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.

AB - Doubly curved stiffened shells are essential parts of many large-scale engineering structures, such as aerospace, automotive and marine structures. Optimization 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 optimize the locations of discrete piezoelectric sensor/actuator pairs and feedback gain using genetic algorithms for active vibration control. In this study, fitness and objective functions are proposed based on the maximization of sensor output voltage to optimize the locations of discrete sensors collected with actuators to attenuate several vibrations modes. The optimal control feedback gain is determined thenbased 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 modeled 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 optimize four sensor/actuator pairs to attenuate the first six modes of vibration. The placement methodology is applied next to study a complex stiffenedcomposite shell to optimize 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.

KW - base excitation

KW - composite

KW - genetic algorithms

KW - Sensor

KW - stiffened shell

KW - vibration control

KW - Composite materials

KW - Electric sensing devices

KW - Genetic algorithms

KW - Linear control systems

KW - Offshore structures

KW - Piezoelectric devices

KW - Piezoelectric transducers

KW - Piezoelectricity

KW - Plates (structural components)

KW - Reduction

KW - Sensors

KW - Shear deformation

KW - Shells (structures)

KW - Structural optimization

KW - Vibration control

KW - Active vibration controls

KW - Active vibration reduction

KW - Base excitation

KW - External force excitation

KW - First-order shear deformation theory

KW - Large scale engineering structures

KW - Linear quadratic control

KW - Stiffened shells

KW - Feedback

U2 - 10.1115/1.4040669

DO - 10.1115/1.4040669

M3 - Journal article

VL - 140

JO - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

JF - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

SN - 0022-0434

IS - 12

ER -