Abstract

In this work, active vibration control of an underwater cylindrical shell structure was investigated, to suppress structural vibration and structure-borne noise in water. Finite element modeling of the submerged cylindrical shell structure was developed, and experimentally evaluated. Modal reduction was conducted to obtain the reduced system equation for the active feedback control algorithm. Three Macro Fiber Composites (MFCs) were used as actuators and sensors. One MFC was used as an exciter. The optimum control algorithm was designed based on the reduced system equations. The active control performance was then evaluated using the lab scale underwater cylindrical shell structure. Structural vibration and structure-borne noise of the underwater cylindrical shell structure were reduced significantly by activating the optimal controller associated with the MFC actuators. The results provide that active vibration control of the underwater structure is a useful means to reduce structure-borne noise in water.

Highlights

  • In the last several decades, significant advances have been achieved in the field of smart materials and structures

  • Three Macro Fiber Composites (MFCs) were used as actuators and sensors

  • Finite element modeling of the underwater cylindrical shell structure was developed, and dynamic characteristics were obtained by using the commercial finite element package, ANSYS

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Summary

Introduction

In the last several decades, significant advances have been achieved in the field of smart materials and structures. One of the main applications of smart materials and structures is active vibration control to suppress undesirable structural vibration and noise. A smart structure has the capability to respond to changes in the external environment, as well as to a change of its internal environment. It incorporates smart materials that allow the change of system characteristics, such as stiffness or damping, in a controlled manner. Many types of smart materials are being developed as actuators and sensors, such as piezoelectric materials, shape memory alloys, electrorheological fluids, magnetorheological fluids, electrostrictive materials, magnetostrictive materials and electroactive polymers. Piezoelectric materials are most commonly used as smart materials, owing to their quick response, wide bandwidth and easy implementation. Piezoelectric materials can be employed as both actuators and sensors, by taking advantage of direct and converse piezoelectric effects

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