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Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging

  • Suhyung Jang
  • Ghang Lee

This paper presents an enhanced BIM logger designed to capture both geometry and attribute changes of building element geometries, thereby offering a transparent source of representation of the BIM authoring process. The authors developed the logger and reproduction algorithm using the Revit C# API based on the analysis of information required to define building elements and associated attributes. The enhanced BIM log was evaluated through a case study of Villa Savoye designed by Le Corbusier. Despite negligible discrepancies, the results show that the enhanced BIM log can accurately represent the BIM authoring process capturing and reproducing 92.45% of the building elements from the original BIM model. Future research can focus on expanding the scope of logging and probing the potential of automating the BIM authoring process using these enhanced BIM logs

  • Keywords:
  • Building information modeling (BIM),
  • BIM log mining,
  • BIM authoring software,
  • Custom BIM log,
  • Authoring process reproducibility,
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Suhyung Jang

Yonsei University, Korea (the Republic of)

Ghang Lee

Yonsei University, Korea (the Republic of) - ORCID: 0000-0002-3522-2733

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  • Publication Year: 2023
  • Pages: 508-514

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  • Publication Year: 2023

Chapter Information

Chapter Title

Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging

Authors

Suhyung Jang, Ghang Lee

DOI

10.36253/979-12-215-0289-3.49

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

43

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