BIM and Tunnelling – a Norwegian application: the Sotra Link Project
Bibliographic record
Abstract
The adoption of the BIM approach (Building Information Modeling) is an established practice for infrastructure design in Nordic countries and is gradually becoming a mandatory requirement for big projects in other developed countries such as Italy.The current paper deals with the application of BIM to the Sotra Link Project (SLP), a complex project of several underground and surface structures between Sotra island and the city of Bergen (Norway), including a 900 m-long suspension bridge and 12.5 km of tunnels.Adopted from the Early Design to the Detail Design of Sotra Link Project, BIM allowed a fruitful information exchange between design teams and client, the creation of a comprehensive design database, and so ensuring design consistency across disciplines, cost optimization and time saving.Within the frame of tunneling, the implementation of innovative discipline-specific workflows including project databases, BIM modeling and computational design software enabled the creation of a comprehensive geotechnical/structural model of all the tunnels involved in the SLP, which constituted a unified data source for deliverables, bill of quantities, and validation of the final design.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".