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.,