{"title":"Ml-integrated reusable piezoceramic sensors for steel fibre concrete structural health monitoring","authors":"Wesam Al Agha, Nirendra Dev, Shilpa Pal","doi":"10.1016/j.measurement.2025.119201","DOIUrl":null,"url":null,"abstract":"<div><div>This research develops a novel non-destructive measurement approach integrating electro-mechanical impedance (EMI) technology with innovative reusable non-bonded surface piezoelectric sensors (NBPS) for steel fibre cement-based materials (SFCM). The measurement of SFCM structural health monitoring faces significant limitations due to reliance on destructive testing methods. Therefore, this experimental program can systematically provide damage assessment of SFCM specimens containing hooked-end steel fibres at six dosage levels (0.25, 0.5, 0.75, 1, 1.25, and 1.5 %) with aspect ratios of 55 and 65, evaluating both healthy and damaged states over 28 days. EMI signature analysis focused on resonance frequency shifts and peak conductance variations, with damage quantification achieved through statistical metrics including RMSD and MAPD. Results demonstrate that specimens with an aspect ratio of 65 consistently outperformed those with an aspect ratio of 55, achieving optimal compressive strength of 60.95 MPa at 0.75 % fibre content (47.5 % improvement). Machine learning frameworks accomplished outstanding compressive strength prediction (R<sup>2</sup> = 0.99) with immediate convergence, developing EMI-based analysis. The validated EMI-NBPS system offers a transformative non-destructive solution for structural health monitoring, enabling immediate strength assessment and damage detection in fibre-reinforced cementitious materials for construction quality control and infrastructure monitoring applications. This paper will serve as a primary reference for non-bonded PZT in SFCM damage monitoring due to the crucial process of strength changes, focusing on the observation, calibration, and validation of selecting structural parameters, including equivalent stiffness, damping, and mass.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119201"},"PeriodicalIF":5.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125025606","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This research develops a novel non-destructive measurement approach integrating electro-mechanical impedance (EMI) technology with innovative reusable non-bonded surface piezoelectric sensors (NBPS) for steel fibre cement-based materials (SFCM). The measurement of SFCM structural health monitoring faces significant limitations due to reliance on destructive testing methods. Therefore, this experimental program can systematically provide damage assessment of SFCM specimens containing hooked-end steel fibres at six dosage levels (0.25, 0.5, 0.75, 1, 1.25, and 1.5 %) with aspect ratios of 55 and 65, evaluating both healthy and damaged states over 28 days. EMI signature analysis focused on resonance frequency shifts and peak conductance variations, with damage quantification achieved through statistical metrics including RMSD and MAPD. Results demonstrate that specimens with an aspect ratio of 65 consistently outperformed those with an aspect ratio of 55, achieving optimal compressive strength of 60.95 MPa at 0.75 % fibre content (47.5 % improvement). Machine learning frameworks accomplished outstanding compressive strength prediction (R2 = 0.99) with immediate convergence, developing EMI-based analysis. The validated EMI-NBPS system offers a transformative non-destructive solution for structural health monitoring, enabling immediate strength assessment and damage detection in fibre-reinforced cementitious materials for construction quality control and infrastructure monitoring applications. This paper will serve as a primary reference for non-bonded PZT in SFCM damage monitoring due to the crucial process of strength changes, focusing on the observation, calibration, and validation of selecting structural parameters, including equivalent stiffness, damping, and mass.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.