Evaluation of Transfer Function and Dynamic Properties from Strain-Controlled Resonant Column Tests
Bibliographic record
Abstract
Abstract Dynamic properties of soils can be inferred via curve fitting of the transfer function between the excitation and the induced strain using a resonant column device. The shape of the measured transfer function is distorted and differs from that of the theoretical transfer function because of different shear strain levels at different frequencies in the specimen. The difference becomes more pronounced with increasing shear strain levels. This study presents a new methodology for the evaluation of dynamic properties from an improved transfer function. In this methodology, the soil specimen is excited using a sinusoidal carrier excitation at the desired strain level coupled with simultaneous excitation of a very small strain random noise. The desired strain level induced by the fixed sine controls the resonant frequency of the specimen, whereas the small strain random noise (always kept small) determines the shape of the transfer function and thus the damping coefficient. The results indicate excellent matching of the transfer function obtained from the proposed method and the theoretical transfer function at all shear strain levels. The new methodology also shows good potential for the evaluation of dynamic properties of soils as a function of frequency in resonant column testing.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".