A Preliminary Study on the Engineering Properties of Clay Soil
Bibliographic record
Abstract
Karl Von Terzaghi, the father of soil mechanics, says, “There is no other soil which is as problematic as clay soil”. In many places across the badlands of Alberta, clay soil is known to be troublesome and cause issues with buildings and infrastructure. Climate conditions, erosion and weathering can cause the unstable clay soil to create landslides, which consequently damage many of these structures. For this reason, engineers are sent to these sites to monitor and collect data over a period of time to compare and contrast their results. The purpose of this study is to learn and understand the properties of clay soils through different classification and index tests. Two clay soils, kaolinite and bentonite, were tested for their properties and their results were compared. Some of the tests performed include the hydrometer analysis, pycnometer analysis, and atterberg limits. The hydrometer analysis is the process in determining the size of silts and clays (when sieves cannot be used). The pycnometer analysis is used to determine the specific gravity of a substance. Atterberg limits are used to determine the water content at which a soil starts to shift from liquid, plastic or semi-solid. These tests were done in two different solutions - one containing distilled water and one with saline water - to understand the effect of the solution on the liquid and plastic limits. The goal of this study was achieved and the results can be used to understand more about the engineering properties of clay soils and apply these studies to future field work. By understanding these properties, further research can be done to discover long term solutions to landslides caused by the problematic soil.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".