Ascertaining Grain Scale Effects of Seismic or Aseismic Stimulation upon Strength of Near Surface Geological Materials
Bibliographic record
Abstract
Summary Certain peculiarities of inelastic nonlinearity of unconsolidated near surface stressed granular media contributed at micro- scale are investigated to ascertain anomalous time dependent strength behaviour macro-effects, with geotechnical/geo-environmental implications. Comparative examination of ultrasonic P- and S-wave pulse stimulated repeatable displacement response wave-forms of confined dry and fully saturated ceramic grains analogue, endorsable by pertinent theory, hint certain persistive time and frequency restricted occurrences vouching vital insights. Examination aimed at both understanding “louder” response of “quieter” seismic and aseismic events in granular sediments, and imparting enhanced conceptual substantiation of some previously published results, show that subtle acoustic emission and/or stick-slip type micro events do occur, and, when spread over time and/or space are collectively capable of altering granular material macro strength behaviour. It is clearly deducible from resonant type spectral results that material fragmentation or force chain formation type phenomenon occurs possibly due to macro-scale friction mobilization by grain scale events. It is further speculated that invisible high frequency events may irreversibly alter grain scale surface properties and/or intergranular friction as enhanced elasticity type effect, more elusive with saturation. Temporal morphology of stick-slip type events when stimulated by P- and S-wave modes is posited to be non-identical in characteristic sense.
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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 | 0.000 |
| 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) | 0.002 | 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".