3D CAD modeling and visualization of the tunnel construction process in a distributed simulation environment
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
Computer simulation has been successfully implemented in the construction industry for the decision making process; however, current modeling approaches focus mainly on process modeling and cannot integrate or assimilate information from different software. For a more complex project, 3D CAD models will help decision makers to improve integrity between design and construction process simulation, and process visualization will help them to detect deficiencies during the construction phase. High Level Architecture-based distributed simulation as a new simulation technique in construction facilitates integration and collaboration among various simulation models and allows us to standardize the integration process for computer software. It therefore enables us to integrate CAD models and 3D animation to visually control as-planned and as-built information. This paper proposes a methodology to integrate 3D modeling and visualization techniques with the tunneling construction simulation. The feasibility of the proposed methodology is validated in a real-life tunnel project in Edmonton, Alberta, Canada.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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