Simulation modeling of weather-sensitive tunnelling construction activities subject to cold weather
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
In cold regions, weather introduces a great deal of uncertainty to weather-sensitive construction activities, resulting in project schedules that deviate from plans. To maximize construction process productivity, decisions regarding process execution planning and sequence of work need to be made, based on reliable plans and schedules. Faced with winter weather uncertainty in cold regions, this task becomes quite challenging. This paper follows the framework that was proposed in the literature for simulating weather-sensitive construction projects executed under cold weather conditions. In the literature, the authors applied the framework steps to enable simulating and planning pipeline construction activities under severe cold weather. The proposed framework sets out a work breakdown structure of activities to account for and quantify weather impact on the project schedule. The steps outlined in the framework are followed to enable simulating and planning tunnelling construction activities executed under severe cold weather conditions. Relevant simulation findings, which clarify the impact of cold weather events on construction projects and can assist in project planning and decision support, are reported.
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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