Soil Viscosity and Yield Stress measurement using a Motorized Rheometer
Bibliographic record
Abstract
A motorised soil rheometer was developed at the Department of Agricultural andBioresource Engineering, University of Saskatchewan to determine soil viscosity and yield stress.The device works on the principle of torsional shear applied to a standard vane with controlled strainrate following ASTM standards. Rheological measurements were carried out for a clay loam soil atdifferent soil moisture contents (10, 13, 17 and 20% d.b.) and soil compaction levels (100, 150, 200,300 and 400 kPa) to find their effects on soil viscosity and yield strength. The values of viscosity of aclay loam soil were found to spread in the range of 53x103 to 283x103 Pa.s, while the yield stressvariation had a range of 4 to 28 kPa. Viscosity was highly affected by the compaction levels for themoisture contents tested. Increase in soil compaction was accompanied by a sharp increase in soilviscosity. Yield stress also increased with soil compaction for all the levels of moisture content with asteep increase when the compaction level was increased from 300 kPa to 400 kPa. The moisturecontent of 17% (d.b) was found to have a reduced viscosity and yield stress.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".