Modelling the erosion rate of chemically stabilized soil incorporating tensile force – deformation characteristics
Bibliographic record
Abstract
To evaluate the safety of embankment dams, it is necessary to estimate the erosion rate based on common geotechnical properties such as shear and tensile strength. However, the empirical expressions that are currently available in the literature for this purpose are often inadequate. In this paper, an analytical model is developed to model the erosion of a soil capturing its tensile behaviour based on the law of energy conservation. The erosion rate can be determined using the proposed model if the tensile force – deformation characteristics, dry density, mean particle diameter, and mean flow velocity are known. The proposed model is semi-empirical and can be validated with experimental results obtained from the novel process simulation apparatus for internal crack erosion (PSAICE) designed and built at the University of Wollongong, Australia. All tests were conducted on erodible silty sand stabilized with cement and lignosulfonate. The model validation clearly indicates that only a fraction of the energy (efficiency index) from the water stream is effectively used for erosion.
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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 | 0.000 | 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 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".