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Updated: Jun 15, 2025
10:24
Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
Published on: November 1, 2018
6.7K
Deep learning-based corrosion inspection of long-span bridges with BIM integration
Kotaro Hattori1, Keiichi Oki1, Aya Sugita1
1IHI Infrastructure Systems Co., Ltd, 3 Ohama Nishimachi, Sakai, Osaka, 590-0977, Japan.
Heliyon
|August 22, 2024
Summary
This study introduces an automated method for bridge inspection using image diagnosis technology to measure corrosion on bridge components. Integrating this data into Building Information Modeling (BIM) enhances infrastructure maintenance efficiency and accuracy.
Area of Science:
- Civil Engineering
- Structural Health Monitoring
- Computer Vision
Background:
- Aging infrastructure in Japan necessitates efficient maintenance and operation for societal safety.
- Current bridge inspection methods are labor-intensive, prone to errors, and lack standardized record-keeping.
- Inefficiencies in bridge inspection hinder effective management, especially for long bridges.
Purpose of the Study:
- To develop an automated method for measuring the position and area of corroded parts on bridge structures.
- To improve the efficiency and accuracy of bridge inspection and maintenance processes.
- To integrate inspection data into a 3D Building Information Modeling (BIM) model for better management.
Main Methods:
- Utilizing image diagnosis technology to analyze images captured by a bridge inspection vehicle.
- Focusing on capturing images of the lower surface of the stiffening girder.
- Integrating automated measurement results into a 3D Building Information Modeling (BIM) environment.
Main Results:
- Successfully developed a method for automatic measurement of corroded part position and area.
- Demonstrated the effectiveness of the developed method on actual long bridges.
- Enabled efficient management of bridge condition through integrated 3D BIM data.
Conclusions:
- The developed automated image diagnosis method significantly improves bridge inspection efficiency.
- Integration with BIM provides a more effective and standardized approach to infrastructure management.
- This technology addresses key challenges in maintaining aging bridge infrastructure.
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