用于确定波在功能分级压电-粘弹结构中传播的应力强度因子的积分变换技术

Diksha, Soniya Chaudhary, Pawan Kumar Sharma
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引用次数: 0

摘要

本研究采用积分变换方法研究了爱波在具有界面裂纹的旋转复合结构中的传播。该结构包括一个初始受力的功能分级压电粘弹性半空间和一个压电粘弹性半空间。研究集中于两种材料体系:环氧树脂-BNKLBT 与环氧树脂-KNLNTS 配对,以及环氧树脂-BNKLBT 与环氧树脂-PZT7A 配对。粘弹性材料的建模反映了它们在旋转和应力条件下的复杂行为。应用伽利略变换将笛卡尔坐标系转换为与爱波传播方向一致的移动参考框架。利用贝塞尔函数的特性,该系统被转换为双积分方程组,并随后被重新表述为同步弗里德霍尔积分方程。这些弗雷德霍尔积分方程的数值解用于计算界面裂缝附近的电位移强度因子(EDIF)和应力强度因子(SIF)。本研究的主要目的是观察不同材料参数(如压电常数、介电常数、初始应力、界面电位移、界面应力和旋转)对 SIF 和 EDIF 的影响。这项研究将有助于表面声波 (SAW) 传感器和压电致动器等先进技术的发展,也有助于提高 SAW 生物传感器的灵敏度和稳定性,以用于早期癌症检测和生物医学植入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integral transform technique for determining stress intensity factor in wave propagation through functionally graded piezoelectric-viscoelastic structure
This study employs an integral transform approach for Love wave propagation in a rotating composite structure having an interfacial crack. The structure comprises an initially stressed functionally graded piezoelectric viscoelastic half-space bonded to a piezoelectric viscoelastic half-space. The study focuses on two material systems: Epoxy-BNKLBT paired with Epoxy-KNLNTS and Epoxy-BNKLBT paired with Epoxy-PZT7A. The viscoelastic materials are modeled to reflect their complex behavior under rotational and stress conditions. The Galilean transformation is applied to convert the Cartesian coordinates system into a moving reference frame aligned with the Love wave's propagation. Employing Bessel function properties, the system is converted into a set of double integral equations and subsequently reformulated into simultaneous Fredholm integral equations. Numerical solutions to these Fredholm integral equations are used to calculate the electric displacement intensity factor (EDIF) and stress intensity factor (SIF) near the interfacial crack. The key objective of this study is to visualize the impact of different material parameters, like piezoelectric constants, dielectric constants, initial stress, interface electric displacement, interface stress, and rotation, on SIF and EDIF. The investigations of this study will be helpful for advanced technologies like surface acoustic wave (SAW) sensors and piezoelectric actuators, as well as to enhance SAW bio-sensor sensitivity and stability for early cancer detection and biomedical implants.
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