3D effects in seismic liquefaction of stochastically variable soil deposits
Why this work is in the frame
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Bibliographic record
Abstract
The natural variability of soil properties within geologically distinct and uniform layers has been proven to greatly affect soil behaviour and to induce significant variability in the predicted response. Previous studies concluded that small-scale heterogeneity greatly affects the liquefaction potential of saturated soil deposits, and provided geotechnical design guidelines to account for the effects of various characteristics of spatial variability. Those studies were based on two-dimensional analyses of soil liquefaction (in a vertical plane) assuming plane strain behaviour. Therefore the correlation distance of soil variability in a direction normal to the plane of analysis was implicitly taken as infinite (i.e. no variability in the third direction). In this study, a Monte Carlo simulation approach involving generation of sample functions of non-Gaussian, multivariate, multidimensional random fields and non-linear finite element analyses is used to investigate the effects of soil heterogeneity on the liquefaction potential of a ‘stochastically heterogeneous’ soil deposit subjected to seismic loading. To assess the 3D effects, Monte Carlo simulation results obtained for a 3D soil deposit are compared with corresponding results from 2D plane strain analyses. The calculations are performed for a range of seismic acceleration intensities, and the results are presented in terms of fragility curves expressing the probability of exceeding various thresholds in the response as a function of earthquake intensity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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