Development of a Bridge Maintenance System Using Bridge Information Modeling
Bridges play a critical role in the transportation system network; accordingly, assuring satisfaction with the service level of these structures is vital for bridge maintenance managers. Thus, it is vital to determine the optimum bridge maintenance plan (i.e., the optimum timing and type of repair a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Tehran Press
2021-12-01
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| Series: | Civil Engineering Infrastructures Journal |
| Subjects: | |
| Online Access: | https://ceij.ut.ac.ir/article_82406_11a35763f9769a171e1f261077405d6c.pdf |
| _version_ | 1818550919078346752 |
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| author | Dana Samadi Hosein Taghaddos Mohammad Hosein Nili Mojtaba Noghabaei |
| author_facet | Dana Samadi Hosein Taghaddos Mohammad Hosein Nili Mojtaba Noghabaei |
| author_sort | Dana Samadi |
| collection | DOAJ |
| description | Bridges play a critical role in the transportation system network; accordingly, assuring satisfaction with the service level of these structures is vital for bridge maintenance managers. Thus, it is vital to determine the optimum bridge maintenance plan (i.e., the optimum timing and type of repair activities applied to the bridge elements) considering the budget limitations. To optimize the bridge maintenance plan, some researchers have focused on developing optimization models, including the Genetic Algorithm (GA). However, a few studies have employed Bridge Information Modeling (BrIM) to enhance bridge maintenance management. This study focuses on developing an integrated framework based on BrIM and bridge maintenance optimization to utilize visualization capabilities of BrIM to assist maintenance managers in making decisions. The presented framework optimizes the bridge maintenance plan at the sub-element level. The BrIM automatically feeds into the developed GA optimization system. The introduced framework is successfully verified using a real-world case study. |
| first_indexed | 2024-12-12T08:52:57Z |
| format | Article |
| id | doaj.art-a161d0d61f9a454aaf3fe323d32b1463 |
| institution | Directory Open Access Journal |
| issn | 2322-2093 2423-6691 |
| language | English |
| last_indexed | 2024-12-12T08:52:57Z |
| publishDate | 2021-12-01 |
| publisher | University of Tehran Press |
| record_format | Article |
| series | Civil Engineering Infrastructures Journal |
| spelling | doaj.art-a161d0d61f9a454aaf3fe323d32b14632022-12-22T00:30:08ZengUniversity of Tehran PressCivil Engineering Infrastructures Journal2322-20932423-66912021-12-0154235136410.22059/ceij.2020.298837.166182406Development of a Bridge Maintenance System Using Bridge Information ModelingDana Samadi0Hosein Taghaddos1Mohammad Hosein Nili2Mojtaba Noghabaei3Construction Engineering and Management, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Civil Engineering, University of TehranConstruction Engineering and Management, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, IranDepartment of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695Bridges play a critical role in the transportation system network; accordingly, assuring satisfaction with the service level of these structures is vital for bridge maintenance managers. Thus, it is vital to determine the optimum bridge maintenance plan (i.e., the optimum timing and type of repair activities applied to the bridge elements) considering the budget limitations. To optimize the bridge maintenance plan, some researchers have focused on developing optimization models, including the Genetic Algorithm (GA). However, a few studies have employed Bridge Information Modeling (BrIM) to enhance bridge maintenance management. This study focuses on developing an integrated framework based on BrIM and bridge maintenance optimization to utilize visualization capabilities of BrIM to assist maintenance managers in making decisions. The presented framework optimizes the bridge maintenance plan at the sub-element level. The BrIM automatically feeds into the developed GA optimization system. The introduced framework is successfully verified using a real-world case study.https://ceij.ut.ac.ir/article_82406_11a35763f9769a171e1f261077405d6c.pdfbridge information modeling (brim)bridge maintenance plangenetic algorithm (ga)maintenance optimization |
| spellingShingle | Dana Samadi Hosein Taghaddos Mohammad Hosein Nili Mojtaba Noghabaei Development of a Bridge Maintenance System Using Bridge Information Modeling Civil Engineering Infrastructures Journal bridge information modeling (brim) bridge maintenance plan genetic algorithm (ga) maintenance optimization |
| title | Development of a Bridge Maintenance System Using Bridge Information Modeling |
| title_full | Development of a Bridge Maintenance System Using Bridge Information Modeling |
| title_fullStr | Development of a Bridge Maintenance System Using Bridge Information Modeling |
| title_full_unstemmed | Development of a Bridge Maintenance System Using Bridge Information Modeling |
| title_short | Development of a Bridge Maintenance System Using Bridge Information Modeling |
| title_sort | development of a bridge maintenance system using bridge information modeling |
| topic | bridge information modeling (brim) bridge maintenance plan genetic algorithm (ga) maintenance optimization |
| url | https://ceij.ut.ac.ir/article_82406_11a35763f9769a171e1f261077405d6c.pdf |
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