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dc.contributor.author서종원-
dc.date.accessioned2022-09-19T00:46:08Z-
dc.date.available2022-09-19T00:46:08Z-
dc.date.issued2020-12-
dc.identifier.citationJOURNAL OF COMPUTING IN CIVIL ENGINEERING, v. 35, no. 2, article no. 04020068, page. 1-25en_US
dc.identifier.issn0887-3801-
dc.identifier.issn1943-5487-
dc.identifier.urihttps://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0000955-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/172917-
dc.description.abstractTunnel construction fundamentally differs from building and aboveground civil infrastructure projects. Drill-and-blast is one of the most common and flexible tunnel construction methods. However, it is complex and challenging because a large amount of data is generated from dispersed, independent, and heterogeneous sources. The tunneling industry still uses traditional project management techniques to manage complex interactions between these data sources that are hardly linked, and independent decisions are often made without considering all the relevant aspects. In this context, tunnel construction exhibits uncertainties and risks due to unforeseen circumstances, intricate design, and ineffective information management. Building information modeling (BIM) in the construction industry provides a solution to such issues with effective data information modeling. Existing research has considered a very general BIM semantic model and focused only a small portion of the entire drill-and-blast construction process. Tunnel boring machine (TBM) projects have successfully applied linked data models and multimodel concepts in BIM, but those technologies have yet to be adopted in drill-and-blast tunneling. To address that gap, a novel BIM-based multimodel tunnel information modeling (TIM) framework is presented here to improve project management, construction, and delivery by integrating five interlinked data models and project performance data for drill-and-blast tunnel construction. Data models of tunnel construction processes are linked to propose the Industry Foundation Classes (IFC)-Tunnel classes based on the objects, relationships, and property set definitions of the IFC schema. To validate the proposed framework, an implementation case study of a hydropower tunneling project is presented. The results indicate that the framework facilitates data sharing, information integration, data accessibility, design optimization, project communication, efficient project management, and visualization of tunnel design and construction processes.en_US
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (Nos. NRF-2018R1A5A1025137 and NRF-2019R1A2C2006577). Abubakar Sharafat and Kamran Latif are extremely thankful to the Higher Education Commission of Pakistan for a Human Resource Development Initiative-Universities of Engineering Science and Technology scholarship.en_US
dc.language.isoenen_US
dc.publisherASCE-AMER SOC CIVIL ENGINEERSen_US
dc.subjectBuilding information modeling (BIM)en_US
dc.subjectTunnel information modelingen_US
dc.subjectDrill-and-blast tunnelingen_US
dc.subjectMultimodelingen_US
dc.subjectIndustry foundation classen_US
dc.subjectLinked dataen_US
dc.subjectCollaborative managementen_US
dc.titleBIM-Based Tunnel Information Modeling Framework for Visualization, Management, and Simulation of Drill-and-Blast Tunneling Projectsen_US
dc.typeArticleen_US
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000955-
dc.relation.page1-25-
dc.relation.journalJOURNAL OF COMPUTING IN CIVIL ENGINEERING-
dc.contributor.googleauthorSharafat, Abubakar-
dc.contributor.googleauthorKhan, Muhammad Shoaib-
dc.contributor.googleauthorLatif, Kamran-
dc.contributor.googleauthorSeo, Jongwon-
dc.relation.code2020050452-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING-
dc.identifier.pidjseo-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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