Improved interdigital sensors for structural health monitoring of composite retrofit systems

Author:

Nassr Amr A.1,El-Dakhakhni Wael W.2

Affiliation:

1. Department of Civil Engineering, Centre for Effective Design of Structures, McMaster University, Canada,

2. Department of Civil Engineering, Centre for Effective Design of Structures, McMaster University, Canada

Abstract

In this article, an improved sensor performance based on detecting the dielectric variations in composite—concrete interface and linking these variations to bond deterioration is presented. The use of composites in retrofitting concrete structures is becoming a standard technique worldwide. The bond between the composite system and the concrete element surface is essential to ensure achieving the designed performance. However, there is little research on the development of an economic structural health monitoring technique for monitoring bond quality in large structures, such as buildings and bridges. The improved sensing technique utilizes an Interdigital Capacitance Sensor design to increase the signal-to-noise ratio and to detect shallow—depth bond deteriorations. An analytical modeling technique was used to analyze the influence of the different sensor parameters, especially the dependency of the capacitance signals on the sensor geometrical dimensions. Two-dimensional finite element (FE) simulations were also used to assess different related design parameters and to verify the experimental results. A concrete slab retrofitted with composites containing pre-induced air voids to simulate bond deteriorations defects were constructed and inspected in a laboratory setting. Good agreements were found between experimental capacitance signal response parameters and those predicated from the FE simulations of the slab specimen.

Publisher

SAGE Publications

Subject

Materials Chemistry,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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