Elasticity moduli of expansive soils from dimensional analysis
Bibliographic record
Abstract
In this paper, a dimensionless model is proposed to estimate the modulus of elasticity of unsaturated expansive soils extending the dimensional analysis (DA). Experimental results of conventional and suction-controlled triaxial tests for three different compacted expansive soils from the literature are used in this study to apply the DA. The state of hydration of soil expressed in terms of the matrix suction and the degree of saturation, the level of compaction and the confinement described by the initial void ratio and the confining stress, respectively, are considered to form the dimensionless parameters towards reliably estimating the soil modulus of elasticity. Validation of the proposed dimensionless model is achieved by comparing its estimations of the soil modulus of elasticity with the experimental values of the modulus of elasticity obtained from the results of triaxial shear tests. In addition, the estimated values of the modulus of elasticity from another semi-empirical model presented by the present authors, for the three unsaturated expansive soils used in this study, are used to verify the proposed dimensionless model. The dimensionless model is rigorous and reliable for estimating the modulus of elasticity of unsaturated expansive soils.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".