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Shape-Sensing of Beam Elements Undergoing Material Nonlinearities

The use of in situ strain measurements to reconstruct the deformed shape of structures is a key technology for real-time monitoring. A particularly promising, versatile and computationally efficient method is the inverse finite element method (iFEM), which can be used to reconstruct the displacement...

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Autores principales: Savino, Pierclaudio, Gherlone, Marco, Tondolo, Francesco, Greco, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828396/
https://www.ncbi.nlm.nih.gov/pubmed/33450965
http://dx.doi.org/10.3390/s21020528
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author Savino, Pierclaudio
Gherlone, Marco
Tondolo, Francesco
Greco, Rita
author_facet Savino, Pierclaudio
Gherlone, Marco
Tondolo, Francesco
Greco, Rita
author_sort Savino, Pierclaudio
collection PubMed
description The use of in situ strain measurements to reconstruct the deformed shape of structures is a key technology for real-time monitoring. A particularly promising, versatile and computationally efficient method is the inverse finite element method (iFEM), which can be used to reconstruct the displacement field of beam elements, plate and shell structures from some discrete strain measurements. The iFEM does not require the knowledge of the material properties. Nevertheless, it has always been applied to structures with linear material constitutive behavior. In the present work, advances are proposed to use the method also for concrete structures in civil engineering field such as bridges normally characterized by material nonlinearities due to the behavior of both steel and concrete. The effectiveness of iFEM, for simply supported reinforced concrete beam and continuous beams with load conditions that determine the yielding of reinforcing steel, is studied. In order to assess the influence on displacements and strains reconstructions, different measurement stations and mesh configurations are considered. Hybrid procedures employing iFEM analysis supported by bending moment-curvature relationship are proposed in case of lack of input data in plastic zones. The reliability of the results obtained is tested and commented on to highlight the effectiveness of the approach.
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spelling pubmed-78283962021-01-25 Shape-Sensing of Beam Elements Undergoing Material Nonlinearities Savino, Pierclaudio Gherlone, Marco Tondolo, Francesco Greco, Rita Sensors (Basel) Article The use of in situ strain measurements to reconstruct the deformed shape of structures is a key technology for real-time monitoring. A particularly promising, versatile and computationally efficient method is the inverse finite element method (iFEM), which can be used to reconstruct the displacement field of beam elements, plate and shell structures from some discrete strain measurements. The iFEM does not require the knowledge of the material properties. Nevertheless, it has always been applied to structures with linear material constitutive behavior. In the present work, advances are proposed to use the method also for concrete structures in civil engineering field such as bridges normally characterized by material nonlinearities due to the behavior of both steel and concrete. The effectiveness of iFEM, for simply supported reinforced concrete beam and continuous beams with load conditions that determine the yielding of reinforcing steel, is studied. In order to assess the influence on displacements and strains reconstructions, different measurement stations and mesh configurations are considered. Hybrid procedures employing iFEM analysis supported by bending moment-curvature relationship are proposed in case of lack of input data in plastic zones. The reliability of the results obtained is tested and commented on to highlight the effectiveness of the approach. MDPI 2021-01-13 /pmc/articles/PMC7828396/ /pubmed/33450965 http://dx.doi.org/10.3390/s21020528 Text en © 2021 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
Savino, Pierclaudio
Gherlone, Marco
Tondolo, Francesco
Greco, Rita
Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title_full Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title_fullStr Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title_full_unstemmed Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title_short Shape-Sensing of Beam Elements Undergoing Material Nonlinearities
title_sort shape-sensing of beam elements undergoing material nonlinearities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828396/
https://www.ncbi.nlm.nih.gov/pubmed/33450965
http://dx.doi.org/10.3390/s21020528
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