4D Digital Integration for Nanomaterial-Based Monitoring and Treatment of Bridge Piers Defects
This study presents an innovative 4D digital model that integrates Bridge Information Modeling (BrIM) with several types of data to defect detection in complex bridge structures. The model promotes precise data preparation, navigation, visualization, integration, and monitoring, enabling the identif...
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| Veröffentlicht in: | Buildings (Basel) Jg. 15; H. 3; S. 501 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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| Abstract | This study presents an innovative 4D digital model that integrates Bridge Information Modeling (BrIM) with several types of data to defect detection in complex bridge structures. The model promotes precise data preparation, navigation, visualization, integration, and monitoring, enabling the identification of defects, like material deterioration, condition changes, and structural clashes in components like trusses. Bridge model provides time-based access to maps, allowing users to explore changes over time and predict future conditions. The integration of time dimension into the 4D model provides dynamic tools for exploring changes over time, allowing for analysis and maintenance planning. Through the use of advanced 4D simulation technology, the study’s effectiveness is in visualizing workflows, identifying constraints, and supporting proactive decision-making in structural management. By incorporating various perspectives and enabling users to interact with detailed visualizations, the model enhances understanding and maintenance practices. This approach advances defect modeling and digitization, supporting automation in defect detection while significantly contributing to the long-term safety and sustainability of bridges. In order to obtain non-destructive images and films of the morphology of the sandstone’s internal structure at the bridge pier in addition to the stone’s grain texture and surface characteristics, this research applied X-ray computed tomography approach (CT scan) and XRF as NDT to the analysis of sandstone. |
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| AbstractList | This study presents an innovative 4D digital model that integrates Bridge Information Modeling (BrIM) with several types of data to defect detection in complex bridge structures. The model promotes precise data preparation, navigation, visualization, integration, and monitoring, enabling the identification of defects, like material deterioration, condition changes, and structural clashes in components like trusses. Bridge model provides time-based access to maps, allowing users to explore changes over time and predict future conditions. The integration of time dimension into the 4D model provides dynamic tools for exploring changes over time, allowing for analysis and maintenance planning. Through the use of advanced 4D simulation technology, the study’s effectiveness is in visualizing workflows, identifying constraints, and supporting proactive decision-making in structural management. By incorporating various perspectives and enabling users to interact with detailed visualizations, the model enhances understanding and maintenance practices. This approach advances defect modeling and digitization, supporting automation in defect detection while significantly contributing to the long-term safety and sustainability of bridges. In order to obtain non-destructive images and films of the morphology of the sandstone’s internal structure at the bridge pier in addition to the stone’s grain texture and surface characteristics, this research applied X-ray computed tomography approach (CT scan) and XRF as NDT to the analysis of sandstone. |
| Audience | Academic |
| Author | Sallam, Ahmed Boukendakdji, Mustapha Mansour, Abdulaziz Ouazir, Abderrahmane Albaqawy, Ghazy Abdullah Touahmia, Mabrouk Sedek, Mohamed Saleh |
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| Cites_doi | 10.1016/j.ymssp.2018.01.022 10.3390/drones8040162 10.1016/j.buildenv.2020.107575 10.3390/buildings14030669 10.1016/j.prostr.2024.09.352 10.1002/stc.2321 10.3390/buildings13092332 10.1080/13467581.2024.2373832 10.21608/asat.2015.22954 10.1088/1757-899X/1067/1/012044 10.3390/su9081392 10.1061/(ASCE)ST.1943-541X.0002835 10.1061/(ASCE)CF.1943-5509.0001727 10.1016/j.autcon.2018.10.019 10.1016/j.autcon.2018.06.006 10.3390/buildings12122175 10.1016/j.culher.2018.09.014 10.1016/j.cscm.2024.e04048 10.3390/buildings14072248 10.1186/s40494-015-0033-6 10.3390/su10124466 10.1016/j.autcon.2022.104440 10.3390/ijerph192416692 10.3390/buildings14051231 10.1016/j.autcon.2023.105186 10.3390/rs13091809 10.1007/s10846-023-01961-9 10.3390/buildings14072101 10.1016/j.jsv.2023.117754 |
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| SubjectTerms | 4D digital integration Artificial intelligence Automation Bridge maintenance Bridge piers Bridges BrIM Building information modeling CAD model Computed tomography Construction Crystal defects CT imaging Decision making Defects Digitization Human error Integration Lasers Machine learning Methods Modelling monitor Monitoring nanomaterial Nanomaterials Nondestructive testing Physical characteristics Piers Registration Sandstone Sensors Stone Surface layers Surface properties Trusses Unmanned aerial vehicles Visualization (Computers) |
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| Title | 4D Digital Integration for Nanomaterial-Based Monitoring and Treatment of Bridge Piers Defects |
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