Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review

Author:

Ferreira Pedro M.ORCID,Machado Miguel A.ORCID,Carvalho Marta S.ORCID,Vidal CatarinaORCID

Abstract

Sensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide variety of materials’ properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and enabling continuous and permanent measurements of their structural integrity. The integration of ESs is limited to the processing technology used to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the technological process selection is dependent on the base material’s composition, which comprises either metallic or composite parts. The selection of smart sensors or the technology underlying them is fundamental to the monitoring mode. This paper presents a critical review of the fundaments and applications of sensing technologies for SHM systems employing ESs, focusing on their actual developments and innovation, as well as analysing the challenges that these technologies present, in order to build a path that allows for a connected world through distributed measurement systems.

Funder

Fundação para a Ciência e Tecnologia

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference151 articles.

1. Smart Sensing Technology: Opportunities and Challenges;Spencer;Struct. Control Health Monit.,2004

2. A Nonlinear Ultrasonic SHM Method for Impact Damage Localisation in Composite Panels Using a Sparse Array of Piezoelectric PZT Transducers;Andreades;Ultrasonics,2020

3. Benchmarking of Nondestructive Testing for Additive Manufacturing;Duarte;3D Print. Addit. Manuf.,2021

4. Double Active Transient Thermography;Machado;NDT E Int.,2021

5. Santos, T.G., Oliveira, J.P., Machado, M.A., Inácio, P.L., Duarte, V.R., Rodrigues, T.A., Santos, R.A., Simão, C., Carvalho, M., and Martins, A. (2020). Additive Manufacturing Hybrid Processes for Composites Systems, Springer.

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