Study to explore the use of Quality Factor of Body Waves (S waves) as a tool to investigate the soil liquefaction potential
Bibliographic record
Abstract
Abstract Liquefaction events occur in deposits of saturated loose sand. Due to the incompressible nature of water, the pore water pressure rises dramatically. Built-up pressure pushes sand particles so that the effective stress between particles becomes zero. Or in other words, these sand particles do not touch each other in the water. So these sand particles are now ^swimming^ in water. These sand deposits behave like water, can flow, and do not have shear strength like normal soil. Not having shear strength means that this soil does not have the carrying capacity of the regular soil against loads above the ground such as buildings etc. This research investigates the possibility of using the Q (quality) factor of seismic waves to estimate the potential liquefaction of soil deposits. We employ Ottawa sand in the laboratory and apply various vibrations using small shaking tables. The results promise of possibilities of using the Q (quality) factor to estimate potential liquefaction.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".