Abstract
Vibration control of composite structures with distributed masses under random loadings is a significant issue. Adjustability of dynamic characteristics including response spectrum peaks and valleys is important for structural vibration control. The vibration control design in space contains structure and conformation designs which combination results in periodic composite structures. In the present paper, spatial periodicity control design is proposed. Stochastic response adjustable performance of a visco-elastomer sandwich plate with harmonic distribution of geometrical and physical parameters and distributed supported masses under random base motion loading is studied. Both facial layer thickness and core layer modulus of the sandwich plate are considered as harmonic distribution in length and width directions as well as periodically distributed masses. Partial differential equations of coupling motions of the sandwich plate system are derived and converted into ordinary differential equations for multi-mode coupling vibration. Generalized stiffness, damping, and mass coefficients are functions of the harmonic distribution parameters. An analysis solution with frequency response function and response spectral density expressions of the sandwich plate system is obtained. Numerical results are given to show the response adjustable performance through the harmonic geometrical and physical parameters and distributed masses. The results have a potential application to stochastic vibration control or dynamic optimization design of smart composite structure systems.
Original language | English |
---|---|
Pages (from-to) | 631-645 |
Number of pages | 15 |
Journal | Measurement and Control (United Kingdom) |
Volume | 55 |
Issue number | 7-8 |
DOIs | |
Publication status | Published - Jul 2022 |
Keywords
- analysis solution
- distributed supported masses
- harmonic distribution parameters
- Random vibration
- response spectrum
- sandwich plate
- visco-elastomer core
ASJC Scopus subject areas
- Instrumentation
- Control and Optimization
- Applied Mathematics