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Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation
This paper aims to set up a finite element model using piezoelectric elements to realize pipeline structure damage identification analysis. Ultrasonic guided wave propagation characteristics and damage identification of pipeline structures are analyzed by the ABAQUS software. The pulse-echo method u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069393/ https://www.ncbi.nlm.nih.gov/pubmed/29966364 http://dx.doi.org/10.3390/s18072106 |
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author | Yan, Shi Li, Ying Zhang, Shuai Song, Gangbing Zhao, Putian |
author_facet | Yan, Shi Li, Ying Zhang, Shuai Song, Gangbing Zhao, Putian |
author_sort | Yan, Shi |
collection | PubMed |
description | This paper aims to set up a finite element model using piezoelectric elements to realize pipeline structure damage identification analysis. Ultrasonic guided wave propagation characteristics and damage identification of pipeline structures are analyzed by the ABAQUS software. The pulse-echo method using an L(0, 2) mode impulse guided wave with a central frequency of 70 kHz is applied to evaluate different size circumferential cracks. An experiment was performed for the validation of the numerical analysis results. Both of the results show that the proposed FEM model with piezoelectric elements can efficiently reveal the dynamic behaviors, which can be used in much more precise numerical simulations than the equivalent dynamic displacement loading method. |
format | Online Article Text |
id | pubmed-6069393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60693932018-08-07 Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation Yan, Shi Li, Ying Zhang, Shuai Song, Gangbing Zhao, Putian Sensors (Basel) Article This paper aims to set up a finite element model using piezoelectric elements to realize pipeline structure damage identification analysis. Ultrasonic guided wave propagation characteristics and damage identification of pipeline structures are analyzed by the ABAQUS software. The pulse-echo method using an L(0, 2) mode impulse guided wave with a central frequency of 70 kHz is applied to evaluate different size circumferential cracks. An experiment was performed for the validation of the numerical analysis results. Both of the results show that the proposed FEM model with piezoelectric elements can efficiently reveal the dynamic behaviors, which can be used in much more precise numerical simulations than the equivalent dynamic displacement loading method. MDPI 2018-06-30 /pmc/articles/PMC6069393/ /pubmed/29966364 http://dx.doi.org/10.3390/s18072106 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 Yan, Shi Li, Ying Zhang, Shuai Song, Gangbing Zhao, Putian Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title | Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title_full | Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title_fullStr | Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title_full_unstemmed | Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title_short | Pipeline Damage Detection Using Piezoceramic Transducers: Numerical Analyses with Experimental Validation |
title_sort | pipeline damage detection using piezoceramic transducers: numerical analyses with experimental validation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069393/ https://www.ncbi.nlm.nih.gov/pubmed/29966364 http://dx.doi.org/10.3390/s18072106 |
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