Experimental investigation of vibration-induced shear resistance reduction in sheared granular soils
Bibliographic record
Abstract
To investigate the characteristics of vibration-induced shear resistance reduction (ViSRR) in granular soils, laboratory tests were performed using a modified triaxial apparatus. Monotonic loading and vibration with controlled frequency and acceleration amplitude were superimposed to soil specimens under drained conditions. Tests were conducted for dry and saturated specimens at relative densities of Dr = 35% and 70%. The tests revealed that superimposed vibration causes a reduction of shear resistance in addition to an additional volume change of the specimen. After the termination of vibration, the shear resistance was found to be recovered as the monotonic shearing continued. It was confirmed that the shear resistance reduction was not caused by vibration-induced variation of excess pore pressure in the specimen. For high-frequency vibration with frequency varying between 60 and 120 Hz, the relative shear resistance loss tended to increase linearly with the peak acceleration. Based on the test results, the concept of “vibro-critical state” is proposed to describe the ViSRR of granular soil subjected to monotonic shear and vibration simultaneously.
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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) | 0.001 | 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".