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Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses
This research proposes a damage identification approach for storage tanks that is based on adding virtual masses. First, the frequency response function of a structure with additional virtual masses is deduced based on the Virtual Distortion Method (VDM). Subsequently, a Finite Element (FE) model of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358787/ https://www.ncbi.nlm.nih.gov/pubmed/30634432 http://dx.doi.org/10.3390/s19020220 |
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author | Hou, Jilin Wang, Pengfei Jing, Tianyu Jankowski, Łukasz |
author_facet | Hou, Jilin Wang, Pengfei Jing, Tianyu Jankowski, Łukasz |
author_sort | Hou, Jilin |
collection | PubMed |
description | This research proposes a damage identification approach for storage tanks that is based on adding virtual masses. First, the frequency response function of a structure with additional virtual masses is deduced based on the Virtual Distortion Method (VDM). Subsequently, a Finite Element (FE) model of a storage tank is established to verify the proposed method; the relation between the added virtual masses and the sensitivity of the virtual structure is analyzed to determine the optimal mass and the corresponding frequency with the highest sensitivity with respect to potential damages. Thereupon, the damage can be localized and quantified by comparing the damage factors of substructures. Finally, an experimental study is conducted on a storage tank. The results confirm that the proposed method is feasible and practical, and that it can be applied for damage identification of storage tanks. |
format | Online Article Text |
id | pubmed-6358787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63587872019-02-06 Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses Hou, Jilin Wang, Pengfei Jing, Tianyu Jankowski, Łukasz Sensors (Basel) Article This research proposes a damage identification approach for storage tanks that is based on adding virtual masses. First, the frequency response function of a structure with additional virtual masses is deduced based on the Virtual Distortion Method (VDM). Subsequently, a Finite Element (FE) model of a storage tank is established to verify the proposed method; the relation between the added virtual masses and the sensitivity of the virtual structure is analyzed to determine the optimal mass and the corresponding frequency with the highest sensitivity with respect to potential damages. Thereupon, the damage can be localized and quantified by comparing the damage factors of substructures. Finally, an experimental study is conducted on a storage tank. The results confirm that the proposed method is feasible and practical, and that it can be applied for damage identification of storage tanks. MDPI 2019-01-09 /pmc/articles/PMC6358787/ /pubmed/30634432 http://dx.doi.org/10.3390/s19020220 Text en © 2019 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 Hou, Jilin Wang, Pengfei Jing, Tianyu Jankowski, Łukasz Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title | Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title_full | Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title_fullStr | Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title_full_unstemmed | Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title_short | Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses |
title_sort | experimental study for damage identification of storage tanks by adding virtual masses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358787/ https://www.ncbi.nlm.nih.gov/pubmed/30634432 http://dx.doi.org/10.3390/s19020220 |
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