Effect of Soft Soil Layer on Ground Motion Peak
Why this work is in the frame
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Bibliographic record
Abstract
Basing on a soft site in Jianghuai region,we constructed several analyze models of site soil seismic response. Then we selected three earthquake records of Taft (1952N21E) ,Kobe ( 1995EW ) and E1-Centro ( 1940NS ) as the input waves,and analyzed the effect of the buried depth and the thickness of soft soil layer on ground peak acceleration in frequency domain through one-dimension equivalent linear fluctuation method. The results showed that for the given input ground motion,the ground acceleration peak and soil amplification factors decreased gradually with the increase of thickness or buried depth of soft site. When the thickness or buried depth of soft site exceeded a certain value,the soft site began to show vibration reduction effect,the deeper and the thicker of the soft layer,the higher intensity of input ground motion,the vibration reduction effect is more obvious.
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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 | 0.003 | 0.002 |
| 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 | 0.002 |
| 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