Towards more accurate numerical modeling of impedance based high frequency harmonic vibration

电磁干扰 有限元法 导纳 结构健康监测 声学 锆钛酸铅 电阻抗 刚度 振动 谐波 参数统计 结构工程 领域(数学) 压电 材料科学 工程类 电子工程 电介质 电气工程 物理 电磁干扰 数学 纯数学 统计 铁电性
作者
Yee Yan Lim,Chee Kiong Soh
出处
期刊:Smart Materials and Structures [IOP Publishing]
卷期号:23 (3): 035017-035017 被引量:46
标识
DOI:10.1088/0964-1726/23/3/035017
摘要

The application of smart materials in various fields of engineering has recently become increasingly popular. For instance, the high frequency based electromechanical impedance (EMI) technique employing smart piezoelectric materials is found to be versatile in structural health monitoring (SHM). Thus far, considerable efforts have been made to study and improve the technique. Various theoretical models of the EMI technique have been proposed in an attempt to better understand its behavior. So far, the three-dimensional (3D) coupled field finite element (FE) model has proved to be the most accurate. However, large discrepancies between the results of the FE model and experimental tests, especially in terms of the slope and magnitude of the admittance signatures, continue to exist and are yet to be resolved. This paper presents a series of parametric studies using the 3D coupled field finite element method (FEM) on all properties of materials involved in the lead zirconate titanate (PZT) structure interaction of the EMI technique, to investigate their effect on the admittance signatures acquired. FE model updating is then performed by adjusting the parameters to match the experimental results. One of the main reasons for the lower accuracy, especially in terms of magnitude and slope, of previous FE models is the difficulty in determining the damping related coefficients and the stiffness of the bonding layer. In this study, using the hysteretic damping model in place of Rayleigh damping, which is used by most researchers in this field, and updated bonding stiffness, an improved and more accurate FE model is achieved. The results of this paper are expected to be useful for future study of the subject area in terms of research and application, such as modeling, design and optimization.

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