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Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method
The inverse Finite Element Method (iFEM) has recently gained much popularity within the Structural Health Monitoring (SHM) field since, given sparse strain measurements, it reconstructs the displacement field of any beam or shell structure independently of the external loading conditions and of the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920399/ https://www.ncbi.nlm.nih.gov/pubmed/36772772 http://dx.doi.org/10.3390/s23031733 |
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author | Poloni, Dario Oboe, Daniele Sbarufatti, Claudio Giglio, Marco |
author_facet | Poloni, Dario Oboe, Daniele Sbarufatti, Claudio Giglio, Marco |
author_sort | Poloni, Dario |
collection | PubMed |
description | The inverse Finite Element Method (iFEM) has recently gained much popularity within the Structural Health Monitoring (SHM) field since, given sparse strain measurements, it reconstructs the displacement field of any beam or shell structure independently of the external loading conditions and of the material properties. However, in principle, the iFEM requires a triaxial strain measurement for each inverse finite element, which is seldom feasible in practical applications due to both costs and cabling-related limitations. To alleviate this problem several techniques to pre-extrapolate the measured strains have been developed, so that interpolated or extrapolated strain values are inputted to elements without physical sensors: the benefit is that the required number of sensors can be reduced. Nevertheless, whenever the monitored components comprise regions of different thicknesses, each region of constant thickness must be extrapolated separately, due to thickness-induced discontinuities in the strain field. This is the case in many practical applications, especially those concerning fiber-reinforced composite laminates. This paper proposes to extrapolate the measured strain field in a thickness-normalized space, where the thickness-induced trends are removed; this novel method can significantly decrease the number of required sensors, effectively reducing the costs of iFEM-based SHM systems. The method is validated in a simple but informative numerical case study, highlighting the potentialities and benefits of the proposed approach for more complex application scenarios. |
format | Online Article Text |
id | pubmed-9920399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99203992023-02-12 Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method Poloni, Dario Oboe, Daniele Sbarufatti, Claudio Giglio, Marco Sensors (Basel) Article The inverse Finite Element Method (iFEM) has recently gained much popularity within the Structural Health Monitoring (SHM) field since, given sparse strain measurements, it reconstructs the displacement field of any beam or shell structure independently of the external loading conditions and of the material properties. However, in principle, the iFEM requires a triaxial strain measurement for each inverse finite element, which is seldom feasible in practical applications due to both costs and cabling-related limitations. To alleviate this problem several techniques to pre-extrapolate the measured strains have been developed, so that interpolated or extrapolated strain values are inputted to elements without physical sensors: the benefit is that the required number of sensors can be reduced. Nevertheless, whenever the monitored components comprise regions of different thicknesses, each region of constant thickness must be extrapolated separately, due to thickness-induced discontinuities in the strain field. This is the case in many practical applications, especially those concerning fiber-reinforced composite laminates. This paper proposes to extrapolate the measured strain field in a thickness-normalized space, where the thickness-induced trends are removed; this novel method can significantly decrease the number of required sensors, effectively reducing the costs of iFEM-based SHM systems. The method is validated in a simple but informative numerical case study, highlighting the potentialities and benefits of the proposed approach for more complex application scenarios. MDPI 2023-02-03 /pmc/articles/PMC9920399/ /pubmed/36772772 http://dx.doi.org/10.3390/s23031733 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Poloni, Dario Oboe, Daniele Sbarufatti, Claudio Giglio, Marco Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title | Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title_full | Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title_fullStr | Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title_full_unstemmed | Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title_short | Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method |
title_sort | variable thickness strain pre-extrapolation for the inverse finite element method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920399/ https://www.ncbi.nlm.nih.gov/pubmed/36772772 http://dx.doi.org/10.3390/s23031733 |
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