Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
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Attribute Data Management for Developing the Database of a 3D Earthwork BIM System

3D 토공 BIM 시스템 데이터베이스 구축을 위한 속성 데이터 관리

  • 문성우 (부산대학교 사회환경시스템공학과) ;
  • 서종원 (한양대학교 건설환경공학과)
  • Received : 2016.12.03
  • Accepted : 2016.12.04
  • Published : 2016.12.31
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Abstract

A Building Information Model (BIM) is an attempt to simulate the process of building structures in a three-dimensional (3D) digital space. While the technology is usually applied to structured buildings, bridges, and underground facilities, it is rarely applied to an unstructured environment of earthwork operations. If a BIM is used for earthworks, the 3D simulation can be used for construction equipment guidance and earthwork management. This paper presents a real-time, 3D earthwork BIM that provides a 3D graphical simulation of excavators in conjunction with geographic modeling. Developing a real-time, 3D earthwork BIM requires handling a variety of factors, such as geographical information and vehicular movement. This paper mainly focuses on the management of these attributes and provides a database design for storing and retrieving data. In an example application, a prototype of the 3D earthwork BIM is presented to understand what it would provide when used during earthwork operations at a construction site.

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References

  1. Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry, Leadership and Management in Engineering, 11(3), pp. 241-252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127
  2. Dakhil, A. and Alshawi, M. (2014). Building Information Modelling Benefits-Maturity Relationship from Client Perspective, Information and Knowledge Management, 4(9), pp. 8-16.
  3. Jo, J. J., Ju, Y. D., Kim, S. M., and Seo, H. J. (2012). Applications and Future Study of Earthwork BIM, Proceedings of Korea Institute of Building Information Modeling, pp. 71-72.
  4. Kim, M. J., Lee, K. H., Kwon, S. H., P, S. I., and Lee, S. C. (2014). BIM Application Case Study of Civil Infrastructure Industry, Proceedings of The Korean Society for Railway.
  5. Kim, Y. H. (2011). BIM for the Public Infrastructure Facilities, KIBIM Magazine, pp. 27-30.
  6. Laica-Geosystems. iCON iXE3-3D System, http://leicageosystems.com/products/machine-control-systems/excavator/leica-icon-ixe3---3d-system, (Jul. 5, 2016).
  7. Prolec. Machine control: ProGrade, http://www.prolec.co.uk/en/what-we-do/products/prograde, (Jul. 5, 2016).
  8. Regan, A., Mahmassani, H. and Jaillet, P. (2014). Evaluation of Dynamic Fleet Management Systems: Simulation Framework, Journal of the Transportation Research Board (1645), Transportation Research Board of the National Academies, Washington, D.C., DOI: 10.3141/1645-22.
  9. Sabahi, P. (2012). Speeding Up the Process of Modeling Temporary Structures in a Building Information Model Using Predefined Families, Master's thesis, Texas A&M, College Station, TX.
  10. Trimble. Grade control for excavators, http://construction.trimble.com/products/machine-control/grade-control-for-excavators, (Jul. 5, 2016).
  11. TopCon. Mass excavation, http://www.topconpositioning.com/construction/mass-excavation, (Jul. 5, 2016).