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Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface

In this study, a preload monitoring method using impedance signatures obtained from a piezoelectric-based smart interface is presented for bolted girder connections. Firstly, the background theory of the piezoelectric-based smart interface and its implementation into the health monitoring of bolted...

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Autores principales: Huynh, Thanh-Canh, Dang, Ngoc-Loi, Kim, Jeong-Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163815/
https://www.ncbi.nlm.nih.gov/pubmed/30135407
http://dx.doi.org/10.3390/s18092766
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author Huynh, Thanh-Canh
Dang, Ngoc-Loi
Kim, Jeong-Tae
author_facet Huynh, Thanh-Canh
Dang, Ngoc-Loi
Kim, Jeong-Tae
author_sort Huynh, Thanh-Canh
collection PubMed
description In this study, a preload monitoring method using impedance signatures obtained from a piezoelectric-based smart interface is presented for bolted girder connections. Firstly, the background theory of the piezoelectric-based smart interface and its implementation into the health monitoring of bolted connections are outlined. A simplified electro-mechanical (EM) impedance model of a smart interface-embedded bolted connection system is formulated to interpret a mechanistic understanding of the EM impedance signatures under the effect of bolt preload. Secondly, finite element modeling of a bolted connection is carried out to show the numerical feasibility of the presented method, and to predetermine the sensitive frequency band of the impedance signatures. Finally, impedance measurements are conducted on a lab-scaled bolted girder connection, to verify the predetermined sensitive frequency range and to assess the bolt preload changes in the test structure.
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spelling pubmed-61638152018-10-10 Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface Huynh, Thanh-Canh Dang, Ngoc-Loi Kim, Jeong-Tae Sensors (Basel) Article In this study, a preload monitoring method using impedance signatures obtained from a piezoelectric-based smart interface is presented for bolted girder connections. Firstly, the background theory of the piezoelectric-based smart interface and its implementation into the health monitoring of bolted connections are outlined. A simplified electro-mechanical (EM) impedance model of a smart interface-embedded bolted connection system is formulated to interpret a mechanistic understanding of the EM impedance signatures under the effect of bolt preload. Secondly, finite element modeling of a bolted connection is carried out to show the numerical feasibility of the presented method, and to predetermine the sensitive frequency band of the impedance signatures. Finally, impedance measurements are conducted on a lab-scaled bolted girder connection, to verify the predetermined sensitive frequency range and to assess the bolt preload changes in the test structure. MDPI 2018-08-22 /pmc/articles/PMC6163815/ /pubmed/30135407 http://dx.doi.org/10.3390/s18092766 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huynh, Thanh-Canh
Dang, Ngoc-Loi
Kim, Jeong-Tae
Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title_full Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title_fullStr Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title_full_unstemmed Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title_short Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
title_sort preload monitoring in bolted connection using piezoelectric-based smart interface
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163815/
https://www.ncbi.nlm.nih.gov/pubmed/30135407
http://dx.doi.org/10.3390/s18092766
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