Performance of the structural damage detection of composite fibre concrete using (EMI) Technique with piezoelectric sensor

Author:

Sonker Maheshwari1,Shanker Rama1

Affiliation:

1. MNNIT Allahabad Prayagraj

Abstract

Abstract

Composite structures and materials find widespread applications across industries such as civil engineering, automotive, and aerospace owing to their exceptional strength-to-weight ratio, stiffness, and resistance to corrosion. However, these materials are prone to various forms of damage, including matrix cracking, delamination, and fiber breakage, which can compromise their performance and lead to failure. Hence, the development of robust health monitoring and inspection (HMI) techniques is imperative for the multi-damage detection and durability assessment of composite structures and materials. Electromechanical impedance (EMI) emerges as a promising HMI technique for such applications. EMI, a non-destructive testing (NDT) method, involves measuring the electrical impedance of a piezoelectric sensor bonded to the structure, enabling detection and characterization of damage. In this study, standard cube specimens were cast using OPC cement, Class F fly ash, and polypropylene fiber mixture. Analysis revealed a direct correlation between the Root Mean Square Deviation (RMSD) index and crack dimensions, with heightened sensitivity observed at smaller patch-to-damage distances. Moreover, the conductance and susceptance signatures consistently shifted with increasing damage, with significant leftward shifts indicating damage severity. A new damage index, ranging from 0 to 1, facilitated quantitative damage analysis, exhibiting pronounced variation in the 30–400 kHz frequency range. Additionally, equivalent stiffness and damping structure parameters were evaluated. Overall, the research demonstrates the effectiveness of surface piezoelectric sensors based on the EMI technique in monitoring concrete damage and its evolution, providing valuable insights for predicting the service life and durability of concrete structures.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3