Simple Approaches for the Application of the Mechanics of Unsaturated Soils into Conventional Geotechnical Engineering Practice
Bibliographic record
Abstract
Comprehensive understanding of the mechanical behavior of unsaturated soils is required for the rational analysis and design of geotechnical infrastructure placed in or constructed with unsaturated soils. The mechanical properties of unsaturated soils are sensitive to changes in soil suction and water content. These properties have to be determined from cumbersome experimental studies that require highly trained personnel and are also time-consuming to perform. This paper summarizes a series of experimental studies related to the mechanical properties of a compacted glacial till and their influence on the load-settlement behavior and bearing capacity of a footing and a single friction pile installed in compacted glacial till. A simple unified model was used to predict the mechanical properties of compacted glacial till taking account of the influence of water content and suction. The predictions were further used to model the measured behavior of the model footing and model friction pile from numerical analysis using the conventional Mohr-Coulomb constitutive model. The simple approaches used in this study require only limited experimental data and soil properties information for interpreting the complex behavior of a compacted unsaturated soil. The study presented in this paper is of interest to the geotechnical engineers for extending the mechanics of unsaturated soils into conventional practice.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".