Ml-integrated reusable piezoceramic sensors for steel fibre concrete structural health monitoring

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Wesam Al Agha, Nirendra Dev, Shilpa Pal
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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.
用于钢纤维混凝土结构健康监测的集成可重复使用压电陶瓷传感器
本研究开发了一种将机电阻抗(EMI)技术与创新的可重复使用的无粘结表面压电传感器(NBPS)相结合的钢纤维水泥基材料(SFCM)无损测量方法。由于依赖于破坏性测试方法,SFCM结构健康监测的测量面临着很大的局限性。因此,该实验程序可以系统地提供含有钩端钢纤维的SFCM样品在六种剂量水平(0.25,0.5,0.75,1,1.25和1.5%)下的损伤评估,长径比为55和65,评估28天内的健康和损伤状态。电磁干扰特征分析侧重于共振频移和峰值电导变化,并通过RMSD和MAPD等统计指标实现损伤量化。结果表明,长径比为65的试件的抗压强度始终优于长径比为55的试件,当纤维含量为0.75%时,抗压强度达到60.95 MPa(提高47.5%)。机器学习框架完成了出色的抗压强度预测(R2 = 0.99),具有即时收敛性,开发了基于emi的分析。经过验证的EMI-NBPS系统为结构健康监测提供了一种革命性的非破坏性解决方案,可以对纤维增强水泥材料进行即时强度评估和损伤检测,用于施工质量控制和基础设施监测应用。本文重点研究等效刚度、等效阻尼、等效质量等结构参数的选取,为非粘结PZT在SFCM损伤监测中的应用提供初步参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
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.
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