BIM-cobie based bridge-defect integrated model for condition assessment of bridge superstructure

Name: Lee, Jung-Bin

Organization : Yonsei University. Department of Civil and Environmental Engineering

Email : j.b.lee@yonsei.ac.kr

Name: Lee, Sangho

Organization : Yonsei University. Department of Civil and Environmental Engineering

Email : csemlsh@yonsei.ac.kr

Name: Yun, Inseop

Organization : Yonsei University. Department of Civil and Environmental Engineering

Email : dbsdlstjq921@yonsei.ac.kr

Name: Lee, Sang-Ho

Organization : Yonsei University. Department of Civil and Environmental Engineering

Email : lee@yonsei.ac.kr

keyword: Bridge superstructure

LCSH: Building information modeling

; Condition assessment

LCSH: Bridges -- Defects

Abstract: In this study, various types of defects occurring on bridges were expressed as object elements to create a Building Information Modeling (BIM)-based bridge-defect model, and a methodology was proposed to digitally assess the condition grade of the bridge affected by defects by generating Construction Operations Building information exchange (COBie) files to a database. The presented method determined the level of development of the bridge superstructure member, classified the 10 representative types of defect, and defined its properties that mainly occur in bridge superstructure to create the bridge-defect model. Then, bridge members and defect information were parameterized based on bridge alignment, and a method for modeling based on parameters using Revit Dynamo was suggested. COBie data was derived and extracted from the bridge-defect model through the Add-in program of the BIM authoring tool and managed through the Structured Query Language (SQL) program to evaluate the condition rating of the bridge. Most of the condition assessment process was automated by making it easy to reference and use the information required at each stage of the condition assessment. The developed methodology was validated through testing based on inspection data of actual bridges, and its practicality and efficiency were verified. This study can be expanded to the entire bridge and has yielded much more accurate results than existing methods. Information on each type of defect can be individually managed and flexibly utilized in other maintenance activities

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2024-04-01

Issued: 2024-04-01

บทความ/Article

application/pdf

BibliograpyCitation : In Chulalongkorn University. 5th International Conference on Civil and Building Engineering Informatics (ICCBEI 2023) (pp.192-199). Bangkok : Chulalongkorn University

eng

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