压电常数的粒子群耦合辨识与类斯特罗式精确解

Najat Magouh, Yassin Belkourchia, H. Bakhti, Azrar Lahcen
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引用次数: 1

摘要

本文提出了一种利用矩形简支功能梯度压电板在机械载荷作用下静变形的精确三维解来优化识别其介电性能和弹性性能的方法。该程序使用类似stroh的形式来获得FGPM板的精确解,与文献中使用的其他更复杂的半解析或数值方法相比,它可以以更简洁和更容易处理的形式表示。然后利用粒子群优化器(Particle Swarm Optimizer, PSO)求解优化问题,以确定压电材料在z方向上的性能。为了验证给定的精确解,给出了一个单层FGPM板的数值例子,并与文献中的先前发现进行了比较。用粒子群算法求解压电材料常数辨识问题,取得了较好的结果。仿真结果验证了所提耦合过程的有效性,表明粒子群算法是解决优化设计问题的有效方法,可提高压电材料的储能性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coupled Identification Procedure of Piezoelectric Constants using PSO and Exact Solution by Stroh-like Formalism
The paper presents an optimization technique for the identification of dielectric and elastic properties of simply supported rectangular functionally graded piezoelectric plates (FGPM) using the exact three dimensional solution for the static deformations under mechanical load of FGPM rectangular plates. The procedure uses the Stroh-like formalism to obtain the exact solution for FGPM plates which can be expressed in more concise and easier handling forms comparing to other more complicated semi-analytical or numerical approaches used in the literature. Particle Swarm Optimizer (PSO) is then used to solve the optimization problem in order to identify the piezoelectric material properties in the z-direction. In order to validate the given exact solution, a numerical example for a single-layer FGPM plate is presented and compared to the previous findings in the literature. Several numerical examples are presented using PSO algorithm to solve the identification problem of piezoelectric material constants and good results are obtaind. The obtained results confirm the efficiency of the proposed coupled procedure and demonstrate that the PSO algorithm is an effective technique for solving optimal design problems to improve the performance of the piezoelectric materials for more energy storage.
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