| id |
oapen-20.500.12657-89083
|
| record_format |
dspace
|
| spelling |
oapen-20.500.12657-890832024-04-03T02:23:19Z Chapter Improving BIM Authoring Process Reproducibility with Enhanced BIM Logging Jang, Suhyung Lee, Ghang Building information modeling (BIM) BIM log mining BIM authoring software Custom BIM log Authoring process reproducibility thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-04-02T15:46:00Z 2024-04-02T15:46:00Z 2023 chapter ONIX_20240402_9791221502893_52 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89083 eng Proceedings e report application/pdf n/a 9791221502893_49.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_49 Firenze University Press 10.36253/979-12-215-0289-3.49 10.36253/979-12-215-0289-3.49 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 7 Florence open access
|
| institution |
OAPEN
|
| collection |
DSpace
|
| language |
English
|
| description |
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
|
| title |
9791221502893_49.pdf
|
| spellingShingle |
9791221502893_49.pdf
|
| title_short |
9791221502893_49.pdf
|
| title_full |
9791221502893_49.pdf
|
| title_fullStr |
9791221502893_49.pdf
|
| title_full_unstemmed |
9791221502893_49.pdf
|
| title_sort |
9791221502893_49.pdf
|
| publisher |
Firenze University Press
|
| publishDate |
2024
|
| url |
https://books.fupress.com/doi/capitoli/979-12-215-0289-3_49
|
| _version_ |
1799945196217040896
|
