Integration of BIM and Computer Simulations in Modular Construction, A Case Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Construction Sector has long been criticized for its lower productivity compared with other industries. To address the problem, recent years, new construction methods and information techniques such as modular construction and Building Information Modelling (BIM) are developed and implemented. Besides, computer simulations, like Discrete Event Simulation (DES) and Agent Based Simulation (ABS), are also incorporated in construction sector. Despite contributions of the 3 techniques to the industry have been investigated respectively by many researches, more benefits could be brought if they are applied simultaneously. However, there is no comprehensive research yet to combine all of them in a single project. To bridge the research gap, this paper first briefly introduces strengths and current applications of the 3 techniques; then a framework integrating them together containing simulation module, BIM database module and decision making module is constructed; finally, a case study of a multistoried canteen project is demonstrated to further explain functions of the framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it