Estimating the Stand-Up Time of Unsupported Vertical Trenches in Vadose Zone
Bibliographic record
Abstract
Stability of trenches in vadose zone primarily depends on matric suction distribution with depth. The depth of ground water table, type of soils, and local climate conditions such as rainfall are major contributing factors to the matric suction distribution, and thus the stability of unsupported trenches. Trench failures are labelled as the cause of many work-related injuries and deaths in the construction industry. Hence, the design of unsupported trenches should be done with utmost caution. The focus of this study is directed towards investigating the influence of rainfall infiltration on the stand-up time of unsupported vertical trenches excavated in unsaturated coarse- and fine-grained soils. For this, a series of numerical analyses were carried out to estimate stand-up time of unsupported vertical trenches considering possible practical scenarios such as various rainfall intensities and groundwater table depths, impermeable membranes on the ground surface, and tension cracks. The commercial geotechnical modelling software, GeoStudio was used in this study to simulate excavation, redistribution of pore-water pressure due to excavation, rainfall infiltration, and slope stability analysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".