Self-sensing piezoelectric composite structures leveraging dispersed electro–mechanical impedance spectral measurements

Abstract This paper presents a new piezoelectric composite material integrating with dispersed electro–mechanical impedance (EMI) measurements for achieving structural self-awareness. The composite material is meticulously designed and fabricated through homogeneous distribution of piezo-ceramic particulates across an epoxy-based polymeric medium, followed by impregnation into glass fibers. The influence of piezo particles on the mechanical properties of the composite material is systematically investigated through tensile tests. To gain an insight into the EMI active self-sensing integrated with the functional composite structure, finite element modeling is conducted. Subsequently, a root mean square deviation (RMSD) algorithm is adopted for evaluating impedance signal deviations for identifying the damage location. It is found that the RMSD metric indicates substantial deviations in the impedance spectrum near the damage site, while spectra at distant locations show minimal change. Dense electrodes can form dispersed sensing neurons, rendering a high resolution spatial diagnostic capability. Finally, experimental validation is performed, demonstrating the performance of the EMI active sensing for damage diagnostics.

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Publication Details

Journal
Smart Materials and Structures
Published
2025-06-27
DOI
https://doi.org/10.1088/1361-665x/ade91f
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00

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article

Self-sensing piezoelectric composite structures leveraging dispersed electro–mechanical impedance spectral measurements

Baoshan Wang, Yanfeng Shen, Chunquan Wang, Shulong Zhou et al.
Smart Materials and Structures
Smart Materials for Construction
article

Self-sensing piezoelectric composite structures leveraging dispersed electro–mechanical impedance spectral measurements

Baoshan Wang, Yanfeng Shen, Chunquan Wang, Shulong Zhou, Yuan Tian
article en

Abstract

Abstract This paper presents a new piezoelectric composite material integrating with dispersed electro–mechanical impedance (EMI) measurements for achieving structural self-awareness. The composite material is meticulously designed and fabricated through homogeneous distribution of piezo-ceramic particulates across an epoxy-based polymeric medium, followed by impregnation into glass fibers. The influence of piezo particles on the mechanical properties of the composite material is systematically investigated through tensile tests. To gain an insight into the EMI active self-sensing integrated with the functional composite structure, finite element modeling is conducted. Subsequently, a root mean square deviation (RMSD) algorithm is adopted for evaluating impedance signal deviations for identifying the damage location. It is found that the RMSD metric indicates substantial deviations in the impedance spectrum near the damage site, while spectra at distant locations show minimal change. Dense electrodes can form dispersed sensing neurons, rendering a high resolution spatial diagnostic capability. Finally, experimental validation is performed, demonstrating the performance of the EMI active sensing for damage diagnostics.

Smart Materials and StructuresVol. 34(7)
Shanghai Jiao Tong University (CN), WuXi AppTec (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Smart Materials for Construction
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Self-sensing piezoelectric composite structures leveraging dispersed electro–mechanical impedance spectral measurements — Baoshan Wang, Yanfeng Shen, et al. · Smart Materials and Structures (2025) | TGRS Research Map | TGRS