This paper proposes a novel family of intelligent piezoelectric composite structures for the purpose of establishing structural self-awareness via disperse measurements of Electro-mechanical Impedance Spectroscopy (EMIS) methodology. The target of the current study aims at developing a functional composite material that embraces both load bearing and self-sensing capabilities at the same time. This is achieved by incorporating active material components, such as piezoelectric ingredients, in the structural component, forming a disperse and dense sensing grid, combined with active sensing methodologies. To develop a deep insight into the mechanism of the intelligent structure, coupled-field finite element models are constructed for verifying the feasibility of the EMIS for damage detection. In particular, the model employs the Equivalent Average Parameter (EAP) method, utilizing overall and nominal parameters, in order to simulate the self-sensing composites. A Root Mean Square Deviation (RMSD) damage metric is subsequently applied to determine the position of the structural damage. Furthermore, the manufacturing process of a piezoelectric composite beam structure is introduced in detail. meticulously crafted through a continuous process of material ratio optimization and process step refinement. Careful manufacturing parameters are explored to ensure the highest extent of sensitivity and reliability. Finally, experimental validation of the EMIS method is performed, showcasing the feasibility and accuracy of the impedance spectra for the damage location and quantification. The paper finished with summary, concluding remarks, and suggestions for future work.

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