Analysis of smart laminated composites integrated with piezoelectric patches using spectral element method and lamination parameters

有限元法 层压 固有频率 谱元法 压电 结构工程 堆积 材料科学 数学分析 混合有限元法 数学 声学 振动 工程类 物理 复合材料 图层(电子) 核磁共振
作者
Peyman Lahe Motlagh,Bekir Bediz,Salih Alan,Adnan Kefal
出处
期刊:Journal of Sound and Vibration [Elsevier]
卷期号:567: 118063-118063 被引量:1
标识
DOI:10.1016/j.jsv.2023.118063
摘要

This paper investigates the effect of stacking sequence on the power output of a smart composite panel integrated with piezoelectric patches, using lamination parameter formulation and spectral element method (SEM). The deformation of the panel is expressed using the first-order shear deformation theory. The strain energy of the host plate is formulated using lamination parameters and the governing equations are derived following Hamilton’s principle. To solve the governing equations accurately and efficiently, a spectral element method is applied where the structure is divided into regions that are continuous in terms of geometry, and element matrices of each region are calculated using the spectral Chebyshev approach. This method benefits both from the (geometry) flexibility of the finite element method and the accuracy of the meshless methods. The developed electromechanical model is used to study the effect of the number of piezo patches and their sizes. To demonstrate the accuracy and performance of the presented SEM, six case studies were investigated by comparing natural frequencies, structural/voltage frequency response functions (FRFs), and computational duration to those obtained from a finite element analysis (FEA). The maximum difference in the predicted natural frequencies between the SEM and FEA results is below 1% and the FRFs obtained using the presented solution technique excellently match the FEA results. Yet, the simulation duration is significantly reduced compared to FEA. To exploit the computational efficiency of the presented analysis approach, optimization case studies were also performed implementing a genetic algorithm to maximize the power output by optimizing the stacking sequence and patch distribution.
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