• Title/Summary/Keyword: Computational Building Information Modeling (BIM)

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Study on Damage Information Management Plan for Maintenance and Operation of River Facilities (하천시설 유지운영을 위한 손상정보 관리방안 연구)

  • Joo, Jae-Ha;Nam, Jeung-Yong;Kim, Tae-Hyung
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.1
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    • pp.9-18
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    • 2021
  • Recently, the rapid proliferation, introduction, and application of the fourth industrial revolution technology has emerged as a trend in the construction market. Building Information Model (BIM) technology is a multidimensional information system that forms the basis of the fourth industrial revolution technology. The river sector utilizing this information-based system is also being actively reviewed, for example, the current measures for maintenance. In recent years, active research and current work should be done to reflect the need for river experts to introduce BIM into the river field. In addition, the development of tools and support software for establishing various information systems is essential for the activation of facility maintenance information systems reflecting advanced technology and to establish and operate management plans. A study on the maintenance of river facilities involves using existing drawings to build a three-dimensional (3D) information model, check the damage utilizing it, and inform it, and utilize it as the data for maintenance reinforcement. This study involved determining a method to build a river facility without the existing information system and using the property maintenance information with 3D modeling to provide a more effective and highly utilized management plan to check maintenance operations and manage damages.

The Information Modeling Method based on Extended IFC for Alignment-based Objects of Railway Track (선형중심 객체 관리를 위한 확장된 IFC 기반 철도 궤도부 정보모델링 방안)

  • Kwon, Tae Ho;Park, Sang I.;Seo, Kyung-Wan;Lee, Sang-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.339-346
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    • 2018
  • An Industry Foundation Classes(IFC), which is a data schema developed focusing on architecture, is being expanded to civil engineering structures. However, it is difficult to create an information model based on extended IFC since the BIM software cannot provide support functions. To manage a railway track based on the extended IFC, this paper proposed a method to create an alignment-centered separated railway track model and convert it to an extended IFC-based information model. First, railway track elements have been classified into continuous and discontinuous structures. The continuous structures were created by an alignment-based software, and discontinuous structures were created as independent objects through linkage of the discretized alignment. Second, a classification system and extended IFC schema for railway track have been proposed. Finally, the semantic information was identified by using the property of classification code and user interface. The availability of the methods was verified by developing an extended IFC-based information model of the Osong railway site.

Strategy and Technology for Digital Transformation of Design and Construction of RC Structures (철근콘크리트골조 설계와 현장관리 디지털전환 전략과 기술개발)

  • Chee Kyeong Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.4
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    • pp.265-272
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    • 2023
  • This paper presents a conceptual strategy and technologies for the digital transformation of design and construction of reinforced concrete (RC) structures. The development of an automated detail design strategy for RC structures is described. Integrated digital platform based on 5D BIM concept is proposed for the replacement of the current technology environment-based 2D CAD. Generally, the detail design development is labor-intensive and iterative. Effective automation of relevant aspects can dramatically improve productivity and accuracy. The proposed solutions for the automated BIM modeling based on the rebar and formwork detail design automation achieves the productivity and accuracy sufficient for site application. The platform integrates and manages the information flow between each solution or application and provides it to all participants of the project. Finally, it is expected that the proposed strategy and technologies can be further enhanced to achieve the productivity and accuracy needed for widespread site application and digital transformation.

Development of 3-Dimensional Rebar Detail Design and Placing Drawing System (3차원 배근설계 및 배근시공도 작성 자동화 시스템 개발)

  • Choi, Hyun-Chul;Lee, Yunjae;Lee, Si Eun;Kim, Chee Kyeong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.4
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    • pp.289-296
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    • 2014
  • The rebar detailing is an important work influencing the final performance and quality of RC structures. But it is one of the most irrational and illogical activity in construction site. Many groups of workers, including main contractors, structural engineers, shop drawers, rebar fabricators, and etc., participate in this activity. A loosely-organized process for this activity is apt to produce a big amount of rebar loss or even degraded structures. A 3-dimensional rebar auto-placing system, called as Rebar Hub, has been designed and implemented in this research. Rebar Hub provides a totally integrated service from 3D structural modeling of buildings to rebar auto-placing considering anchorage, splice, and the length of ordered rebar. In addition, Rebar Hub can recognize the 2D drawing CAD files and then build 3D structural models which are used for the start point of 3D rebar auto-placing. After rebar auto-placing, each members of the 3D structural model have rebar information belonging to them. It means that the rebar information can be used for the afterward works such as quantity-survey, manufacturing and fabrication of rebars. Rebar Hub is showing outstanding performance while applying to practical projects. It has almost five times productivity and reduces the rebar loss up to 3~8% of the initially-surveyed amount of rebar.