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Development of a BIM-based bridge maintenance system (BMS) for managing defect data
Bridges might experience many defects during use, such as pavement cracks and reinforcement corrosion, which easily produce an accumulated impact that threatens bridge safety. Thus, there is a need for the regular inspection and maintenance of bridges. This paper presents a bridge maintenance system...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842629/ https://www.ncbi.nlm.nih.gov/pubmed/36646766 http://dx.doi.org/10.1038/s41598-023-27924-6 |
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author | Li, Sai Zhang, Zhongjian Lin, Daming Zhang, Tongrui Han, Lu |
author_facet | Li, Sai Zhang, Zhongjian Lin, Daming Zhang, Tongrui Han, Lu |
author_sort | Li, Sai |
collection | PubMed |
description | Bridges might experience many defects during use, such as pavement cracks and reinforcement corrosion, which easily produce an accumulated impact that threatens bridge safety. Thus, there is a need for the regular inspection and maintenance of bridges. This paper presents a bridge maintenance system (BMS) based on building information modelling (BIM), which is utilized in bridge defect information management using a digitalization method. A bridge defect three-dimensional BIM (BIM3D) library is established and combined with a bridge model to visualize bridge defect conditions. Based on bridge inspection data, bridge defect information is digitally classified and encoded according to the international framework for dictionaries (IFD) standard and used to establish a database. An evaluation of bridge technical conditions is performed, and the results are graded and displayed in different colours, reflecting the visualization function of BIM technology. Maintenance suggestions are provided according to the range of bridge technical condition scores, reflecting the informatization function of BIM technology. With the Xinjiang Cocodala Bridge in China as a case study, a bridge BIM3D model and inspection data are imported into the BMS to utilize the functions of ‘visualization of bridge defect conditions’, ‘evaluation of bridge technical conditions’ and ‘recommendations of bridge maintenance methods'. |
format | Online Article Text |
id | pubmed-9842629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98426292023-01-18 Development of a BIM-based bridge maintenance system (BMS) for managing defect data Li, Sai Zhang, Zhongjian Lin, Daming Zhang, Tongrui Han, Lu Sci Rep Article Bridges might experience many defects during use, such as pavement cracks and reinforcement corrosion, which easily produce an accumulated impact that threatens bridge safety. Thus, there is a need for the regular inspection and maintenance of bridges. This paper presents a bridge maintenance system (BMS) based on building information modelling (BIM), which is utilized in bridge defect information management using a digitalization method. A bridge defect three-dimensional BIM (BIM3D) library is established and combined with a bridge model to visualize bridge defect conditions. Based on bridge inspection data, bridge defect information is digitally classified and encoded according to the international framework for dictionaries (IFD) standard and used to establish a database. An evaluation of bridge technical conditions is performed, and the results are graded and displayed in different colours, reflecting the visualization function of BIM technology. Maintenance suggestions are provided according to the range of bridge technical condition scores, reflecting the informatization function of BIM technology. With the Xinjiang Cocodala Bridge in China as a case study, a bridge BIM3D model and inspection data are imported into the BMS to utilize the functions of ‘visualization of bridge defect conditions’, ‘evaluation of bridge technical conditions’ and ‘recommendations of bridge maintenance methods'. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842629/ /pubmed/36646766 http://dx.doi.org/10.1038/s41598-023-27924-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Sai Zhang, Zhongjian Lin, Daming Zhang, Tongrui Han, Lu Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title | Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title_full | Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title_fullStr | Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title_full_unstemmed | Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title_short | Development of a BIM-based bridge maintenance system (BMS) for managing defect data |
title_sort | development of a bim-based bridge maintenance system (bms) for managing defect data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842629/ https://www.ncbi.nlm.nih.gov/pubmed/36646766 http://dx.doi.org/10.1038/s41598-023-27924-6 |
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