Abstract

Damping treatments have been extensively used as a powerful means to damp out structural resonant vibrations. Usually, damping materials are fully covered on the surface of plates. The drawbacks of this conventional treatment are also obvious due to an added mass and excess material consumption. Therefore, it is not always economical and effective from an optimization design view. In this paper, a topology optimization approach is presented to maximize the modal damping ratio of the plate with constrained layer damping treatment. The governing equation of motion of the plate is derived on the basis of energy approach. A finite element model to describe dynamic performances of the plate is developed and used along with an optimization algorithm in order to determine the optimal topologies of constrained layer damping layout on the plate. The damping of visco-elastic layer is modeled by the complex modulus formula. Considering the vibration and energy dissipation mode of the plate with constrained layer damping treatment, damping material density and volume factor are considered as design variable and constraint respectively. Meantime, the modal damping ratio of the plate is assigned as the objective function in the topology optimization approach. The sensitivity of modal damping ratio to design variable is further derived and Method of Moving Asymptote (MMA) is adopted to search the optimized topologies of constrained layer damping layout on the plate. Numerical examples are used to demonstrate the effectiveness of the proposed topology optimization approach. The results show that vibration energy dissipation of the plates can be enhanced by the optimal constrained layer damping layout. This optimal technology can be further extended to vibration attenuation of sandwich cylindrical shells which constitute the major building block of many critical structures such as cabins of aircrafts, hulls of submarines and bodies of rockets and missiles as an invaluable design tool.

Highlights

  • Vibration and noise control of flexible structures through passive damping treatments is recognized as an effective and successful technique to solve resonant noise and vibration problems [1]

  • Ling et al / Topology optimization of constrained layer damping on plates using Method of Moving Asymptote (MMA) approach the introduction of smart materials, such as piezo-electric materials and the advancement in computing technology has led to significant development in the control of flexible structures by presenting the concept of Active Constrained Layer Damping (ACLD)

  • The finite element model is developed based on the following assumption which were initially adopted by Mead and Markus [5] in deriving the governing equation of bending vibration of sandwich beams, and are common used for most researches of Passive Constrained Layer Damping (PCLD) and ACLD treatments for structural vibration suppression

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Summary

Introduction

Vibration and noise control of flexible structures through passive damping treatments is recognized as an effective and successful technique to solve resonant noise and vibration problems [1]. Johnson and Kienholz [9] introduced a practical analysis to predict the damping characteristics of damped structures by the Modal Strain Energy (MSE) method, using the finite element analysis They derived an expression for the modal loss factor from purely elastic analysis by suppressing the imaginary part of the complex stiffness. In order to enhance the energy dissipation mechanism and improve the damping characteristics of vibrating structures, it is very significant to extend simple and local sizing or shape optimization to effective and global topological optimization. The sensitivity of modal damping ratio to design variable is further derived and Method of Moving Asymptote (MMA) is employed to search the optimal topologies of constrained layer damping on plates

The model
Strain-displacement relations
Shape functions
Equation of motion
Topology optimization of constrained layer damping on plates
Sensitivity analysis
Numerical examples
Conclusion
SPATIAL INTERPOLATING VECTORS
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