Exploring the role of fabric anisotropy in cyclic liquefaction resistance under non-hydrostatic consolidation: Insights from DEM analysis
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Bibliographic record
Abstract
This study investigates the cyclic liquefaction resistance of granular materials under non-hydrostatic consolidation using 3D discrete element method (DEM) simulations. The study specifically examines how various sample preparation techniques affect the cyclic liquefaction resistance of polydisperse spherical particle samples with a Kc value of 0.5, where Kc represents the ratio of initial horizontal to vertical normal stresses. The results reveal that the choice of sample preparation technique significantly affects the cyclic liquefaction resistance of the samples. Furthermore, this study explores the inherent fabric of the samples using coordination number and contact-normal fabric anisotropy, and demonstrates that it plays a critical role in controlling the cyclic liquefaction resistance of granular materials under nonhydrostatic consolidation. The study emphasizes the significance of considering the inherent fabric in understanding the behavior of granular materials under non-hydrostatic consolidation. This can inform the design of experiments and the development of constitutive models to explore the interplay between sample preparation techniques, fabric anisotropy, and cyclic liquefaction resistance.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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