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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Vydáno v:Buildings (Basel) Ročník 15; číslo 3; s. 501
Hlavní autoři: Albaqawy, Ghazy Abdullah, Touahmia, Mabrouk, Boukendakdji, Mustapha, Ouazir, Abderrahmane, Mansour, Abdulaziz, Sallam, Ahmed, Sedek, Mohamed Saleh
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.02.2025
Témata:
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)
Egypt
ISSN:2075-5309, 2075-5309
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:2075-5309
2075-5309
DOI:10.3390/buildings15030501