| Title |
BIM and OpenAI-based Model for Supporting Initial Construction Planning of Bridges and Tunnels |
| Authors |
Hwang, Jungi ; Song, Seung Ho ; Lee, Changsu ; Ahn, Heejae ; Cho, Hunhee ; Kang, Kyung-In |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2024.25.6.024 |
| Keywords |
Construction Planning; BIM; OpenAI; GPT-4.0 |
| Abstract |
BIM is a prominent technology for enhancing integrated construction information management and extensive stakeholder coordination. However, the difficulty of delivering practical construction planning in the initial design phase and the lack of qualified BIM experts within the industry are the challenges of BIM-based construction digitization. This research utilizes GPT-4.0, a large language model developed by OpenAI that has gained significant traction across academia and industry for its ease of use and effectiveness. The construction information was categorized into three distinct detail levels to derive construction schedules for NATM and the Extradosed bridge. Derived schedules were compared and analyzed against the actual schedules for accuracy. Only qualitative data were generated with the lowest detail level. With the highest detail level, which included structural information and commencement and completion dates, the quantitative data extracted exhibited an average error rate of 19.70% compared to the actual schedules, thus validating the use of GPT-4.0 for extracting relevant construction schedules. The quantitative data were subsequently processed via a classification system, establishing an information management process to be integrated with BIM models. These results contribute to achieving a better construction plan under the limited time and resources in the early design phase and facilitate broader BIM implementation throughout all phases of construction projects. |