Reliability analysis of the bearing capacity of a shallow foundation resting on cohesive soil
Why this work is in the frame
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Bibliographic record
Abstract
In recent years, there have been considerable advances in the characterization of soil variability and its application in geotechnical designs. It is recognized that in using reliability-based design it is necessary to consider all sources of uncertainty in the analysis and incorporate them in the geotechnical design. It is also necessary to examine the reliability-based approach in relation to deterministic approaches. In this study, cone tip resistance (q c ) data obtained from a static cone penetration test on a stiff clay deposit are analyzed by using random field theory; and statistical parameters, such as the mean, variance, and autocorrelation function, are estimated in evaluating the reliability of the allowable bearing capacity of a strip footing founded on the above deposit.Key words: reliability-based design, soil variability, random field, variance, autocorrelation function, bearing capacity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it