Sensitivity and Numerical Analysis Using Strain Space Multiple Mechanism Model for a Liquefiable Sloping Ground
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Bibliographic record
Abstract
In this paper a model is developed to examine the geo-material variabilities and earthquake motions after calibrating the model by carrying out class C numerical simulation based on dynamic centrifuge test on a liquefiable sloping ground using Ottawa F-65 sand. The constitutive model parameters were derived from the result of cyclic torsional shear test carried out at a relative density of 60%. Following the successful validation with the centrifuge test, the constitutive model is used to carry out sensitivity analysis to ascertain the effect of various uncertainties including the material variability present in situ conditions. In order to understand the behavior of a liquefiable sloping ground under realistic scenario earthquake input motions, a numerical study is also performed under 1995 Kobe and 1989 Loma Prieta earthquake motions and the soil system response is compared.
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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