Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application
Bridge maintenance faces challenges regarding data management and decision-making efficiency, primarily owing to the manual processing of extensive inspection data and the absence of integrated digital solutions. This study addresses these challenges by proposing a health index (HI)-based bridge eva...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/14/12/4032 |
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| author | Chi-Ho Jeon Tae Ho Kwon Jaehwan Kim Kyu-San Jung Ki-Tae Park |
| author_facet | Chi-Ho Jeon Tae Ho Kwon Jaehwan Kim Kyu-San Jung Ki-Tae Park |
| author_sort | Chi-Ho Jeon |
| collection | DOAJ |
| description | Bridge maintenance faces challenges regarding data management and decision-making efficiency, primarily owing to the manual processing of extensive inspection data and the absence of integrated digital solutions. This study addresses these challenges by proposing a health index (HI)-based bridge evaluation framework for prestressed concrete bridges, based on building information modeling (BIM) for inspection data integration and long short-term memory (LSTM) models for accurate deterioration prediction. The proposed framework categorizes and analyzes bridge deterioration data from inspection reports and develops a predictive LSTM model that allows quantitative bridge evaluation based on accumulated historical data. The results demonstrate that this approach enhances the efficiency and accuracy of bridge condition evaluation while enabling long-term prediction of deterioration trends. In a case study of a bridge, the bridge-level HI value decreased by 17% over 16 years, while the condition grade remained unchanged. The findings suggest that integrating BIM with HI-based bridge evaluation can support sustainable bridge maintenance strategies. |
| format | Article |
| id | doaj-art-b89f1ba45d254a36821418bf8ce3e3b3 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-b89f1ba45d254a36821418bf8ce3e3b32024-12-27T14:16:05ZengMDPI AGBuildings2075-53092024-12-011412403210.3390/buildings14124032Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling ApplicationChi-Ho Jeon0Tae Ho Kwon1Jaehwan Kim2Kyu-San Jung3Ki-Tae Park4Department of Structural Engineering, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaBridge maintenance faces challenges regarding data management and decision-making efficiency, primarily owing to the manual processing of extensive inspection data and the absence of integrated digital solutions. This study addresses these challenges by proposing a health index (HI)-based bridge evaluation framework for prestressed concrete bridges, based on building information modeling (BIM) for inspection data integration and long short-term memory (LSTM) models for accurate deterioration prediction. The proposed framework categorizes and analyzes bridge deterioration data from inspection reports and develops a predictive LSTM model that allows quantitative bridge evaluation based on accumulated historical data. The results demonstrate that this approach enhances the efficiency and accuracy of bridge condition evaluation while enabling long-term prediction of deterioration trends. In a case study of a bridge, the bridge-level HI value decreased by 17% over 16 years, while the condition grade remained unchanged. The findings suggest that integrating BIM with HI-based bridge evaluation can support sustainable bridge maintenance strategies.https://www.mdpi.com/2075-5309/14/12/4032health indexprestressed concrete (PSC) bridgebridge maintenancebuilding information (BIM)bridge evaluation |
| spellingShingle | Chi-Ho Jeon Tae Ho Kwon Jaehwan Kim Kyu-San Jung Ki-Tae Park Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application Buildings health index prestressed concrete (PSC) bridge bridge maintenance building information (BIM) bridge evaluation |
| title | Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application |
| title_full | Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application |
| title_fullStr | Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application |
| title_full_unstemmed | Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application |
| title_short | Health Index-Based Maintenance of Prestressed Concrete Bridges Considering Building Information Modeling Application |
| title_sort | health index based maintenance of prestressed concrete bridges considering building information modeling application |
| topic | health index prestressed concrete (PSC) bridge bridge maintenance building information (BIM) bridge evaluation |
| url | https://www.mdpi.com/2075-5309/14/12/4032 |
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