Self-sensing piezoelectric composites via generation and reception of ultrasonic guided waves

This article presents a novel family of intelligent piezoelectric composite structures. Unlike conventional self-sensing composites limited to passive monitoring and constrained by low actuation capacity, this study puts forward a novel structure-actuator-sensor integration that combines with Electro-Mechanical Impedance Spectroscopy (EMIS) active sensing, while preserving its mechanical performances. The structure is formed by distributing Pb(Zr0.52Ti0.48)O3 piezo powder and epoxy as the active component to impregnate glass fibers, enabling every inch of the material to function as both an actuator and a sensor. To develop an insight into the EMIS method combined with piezoelectric composites, coupled-field Finite Element (FE) models are constructed for verifying the feasibility of the EMIS for damage detection. A Root Mean Square Deviation (RMSD) damage metric is subsequently utilized to determine the position of the structural damage. It is found that RMSD metric indicates substantia..., , , # Self-sensing piezoelectric composites via generation and reception of ultrasonic guided waves [https://doi.org/10.5061/dryad.v15dv4276](https://doi.org/10.5061/dryad.v15dv4276) ## Description of the data and file structure 1. The simulation file contains the original ANSYS APDL code and the impedance data corresponding to each electrode. 2. The subfolders are organized into summaries/compilations for three case studies, which are: No Damage, One Damage, and Two Damage. 3. Each subfolder contains further folders designated N1, N2, …, N7, corresponding to different electrodes. Within these electrode folders, TXT files whose names begin with ‘N’ are the ANSYS APDL source code, while TXT files whose names begin with ‘V’ or ‘VN’ contain the acquired impedance values for the respective electrode.,本文提出了一类新型智能压电复合结构。相较于传统自感知复合材料仅能实现被动监测且受限于驱动能力不足的缺陷，本研究提出一种全新的结构-执行器-传感器一体化方案，将其与机电阻抗光谱（Electro-Mechanical Impedance Spectroscopy, EMIS）主动感知技术相结合，同时保留了材料原有的力学性能。该结构通过将锆钛酸铅（Pb(Zr₀.₅₂Ti₀.₄₈)O₃）压电粉体与环氧树脂作为活性组分浸渍玻璃纤维制备而成，可使材料的每一处均兼具执行器与传感器的功能。为深入探究结合压电复合材料的EMIS方法，本研究构建了耦合场有限元（Finite Element, FE）模型以验证EMIS用于损伤检测的可行性。随后采用均方根偏差（Root Mean Square Deviation, RMSD）损伤指标来定位结构损伤。研究发现RMSD指标可有效……，，，# 基于超声导波收发的自感知压电复合材料 [https://doi.org/10.5061/dryad.v15dv4276](https://doi.org/10.5061/dryad.v15dv4276) ## 数据与文件结构说明 1. 仿真文件包含原始ANSYS APDL代码与各电极对应的阻抗数据。 2. 子文件夹按三类案例研究的汇总结果进行组织，分别为：无损伤、单损伤与双损伤工况。 3. 每个子文件夹下还包含命名为N1、N2……N7的子文件夹，分别对应不同电极。在这些电极文件夹中，文件名以"N"开头的TXT文件为ANSYS APDL源代码，而以"V"或"VN"开头的TXT文件则存储了对应电极的采集阻抗值。