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Self-Sensing Rubber for Bridge Bearing Monitoring
Elastomeric bearings are widely used in bridges to support the superstructure, to transfer loads to substructures, and to accommodate movements induced by, for example, temperature changes. Bearing mechanical properties affect the bridge’s performance and its response to permanent and variable loadi...
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/PMC10057651/ https://www.ncbi.nlm.nih.gov/pubmed/36991861 http://dx.doi.org/10.3390/s23063150 |
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author | Orfeo, Alessandra Tubaldi, Enrico McAlorum, Jack Perry, Marcus Ahmadi, Hamid McDonald, Hazel |
author_facet | Orfeo, Alessandra Tubaldi, Enrico McAlorum, Jack Perry, Marcus Ahmadi, Hamid McDonald, Hazel |
author_sort | Orfeo, Alessandra |
collection | PubMed |
description | Elastomeric bearings are widely used in bridges to support the superstructure, to transfer loads to substructures, and to accommodate movements induced by, for example, temperature changes. Bearing mechanical properties affect the bridge’s performance and its response to permanent and variable loadings (e.g., traffic). This paper describes the research carried out at Strathclyde towards the development of smart elastomeric bearings that can be used as a low−cost sensing technology for bridge and/or weigh−in−motion monitoring. An experimental campaign was performed, under laboratory conditions, on various natural rubber (NR) specimens enhanced with different conductive fillers. Each specimen was characterized under loading conditions that replicated in−situ bearings to determine their mechanical and piezoresistive properties. Relatively simple models can be used to describe the relationship between rubber bearing resistivity and deformation changes. Gauge factors (GFs) in the range between 2 and 11 are obtained, depending on the compound and the applied loading. Experiments were also carried out to show that the developed model can be used to predict the state of deformation of the bearings under random loadings of different amplitudes that are characteristic of the passage of traffic over a bridge. |
format | Online Article Text |
id | pubmed-10057651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100576512023-03-30 Self-Sensing Rubber for Bridge Bearing Monitoring Orfeo, Alessandra Tubaldi, Enrico McAlorum, Jack Perry, Marcus Ahmadi, Hamid McDonald, Hazel Sensors (Basel) Article Elastomeric bearings are widely used in bridges to support the superstructure, to transfer loads to substructures, and to accommodate movements induced by, for example, temperature changes. Bearing mechanical properties affect the bridge’s performance and its response to permanent and variable loadings (e.g., traffic). This paper describes the research carried out at Strathclyde towards the development of smart elastomeric bearings that can be used as a low−cost sensing technology for bridge and/or weigh−in−motion monitoring. An experimental campaign was performed, under laboratory conditions, on various natural rubber (NR) specimens enhanced with different conductive fillers. Each specimen was characterized under loading conditions that replicated in−situ bearings to determine their mechanical and piezoresistive properties. Relatively simple models can be used to describe the relationship between rubber bearing resistivity and deformation changes. Gauge factors (GFs) in the range between 2 and 11 are obtained, depending on the compound and the applied loading. Experiments were also carried out to show that the developed model can be used to predict the state of deformation of the bearings under random loadings of different amplitudes that are characteristic of the passage of traffic over a bridge. MDPI 2023-03-15 /pmc/articles/PMC10057651/ /pubmed/36991861 http://dx.doi.org/10.3390/s23063150 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 Orfeo, Alessandra Tubaldi, Enrico McAlorum, Jack Perry, Marcus Ahmadi, Hamid McDonald, Hazel Self-Sensing Rubber for Bridge Bearing Monitoring |
title | Self-Sensing Rubber for Bridge Bearing Monitoring |
title_full | Self-Sensing Rubber for Bridge Bearing Monitoring |
title_fullStr | Self-Sensing Rubber for Bridge Bearing Monitoring |
title_full_unstemmed | Self-Sensing Rubber for Bridge Bearing Monitoring |
title_short | Self-Sensing Rubber for Bridge Bearing Monitoring |
title_sort | self-sensing rubber for bridge bearing monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057651/ https://www.ncbi.nlm.nih.gov/pubmed/36991861 http://dx.doi.org/10.3390/s23063150 |
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