Hydraulic conductivity function of a tension crack and its influence on the stand-up time of unsupported vertical trenches in unsaturated soils
Bibliographic record
Abstract
Tension crack accelerates the infiltration of rainwater into the soils in the vicinity of a tension crack, which in turn diminishes the contribution of matric suction towards the shear strength of the soil, ultimately leading to the failure of an unsupported trench. Hence, the hydraulic conductivity function of a tension crack is a crucial factor that should be considered in analysing the stand-up time of an unsupported trench under a rainfall event. In this study, a series of numerical analyses were carried out using geotechnical modelling software, SLOPE/W and SEEP/W (GeoStudio 2020) to investigate the influence of hydraulic conductivity of tension crack on the stand-up time of unsupported vertical trenches, considering multiple groundwater table levels and rainfall intensities. Seepage through a tension crack was simulated by using four different approaches available in the literature. To better understand the seepage through a tension crack, an instrumented large-scale field test was utilised as a case study. The results showed that a tension crack can be simply simulated as a void space by applying influx boundary condition along the bottom of tension crack.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".