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Chapter Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging
Jang, Suhyung, Lee, Ghang

Chapter Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging

Author / Organization:
Humanities & Social Sciences Published 2024 Verification Pending

Overview & Synopsis

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

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Document Information

Document Title Chapter Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging
Author / Organization Jang, Suhyung, Lee, Ghang
Subject & Discipline Building information modeling (BIM)
Categories Humanities & Social Sciences
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website OAPEN Library (www.oapen.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-9018
Original Source Link Visit Source Page on www.oapen.org »