| Title |
A Study of BIM based estimation Modeling data reliability improvement |
| Authors |
Kim, Yeong-Jin ; Kim, Seong-Ah ; Chin, Sang-yoon |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2012.13.3.043 |
| Keywords |
Building Information Modeling ; Quantity Take-off ; Reliability ; Data Quality ; Industry Foundation Classes |
| Abstract |
A methodology for BIM Quality Assurance in the construction industry is becoming increasingly an important issue to determine the reliability of BIM. However, the quality assurance of BIM is currently limited to check 3D models, such as clash detection and space layout while verification methods for disciplinary BIM results from structural engineering, mechanical engineering, and estimation do not exist yet. Particularly, in the BIM-based estimation mathematical equations to take off quantities are not clearly exposed so that the results are not quite accepted at practices. With the concept of reliability engineering defined in the manufacturing industry to improve reliability of outcomes of BIM-based quantity take-off, impacting factors that affect reliability of BIM-based quantity take-off were derived. It was found that the factors also include the modeling method and the features of a BIM tool. Therefore, this research aims to propose modeling and verification methods to improve reliability of BIM-based quantity take-off through the pilot test that was performed with commercial BIM tools and IFC-based BIM data. |