Effect of sample torsional stiffness on resonant column test results
Bibliographic record
Abstract
A number of resonant column tests were conducted in torsion on aluminium cylindrical bars. By changing the length to diameter ratio of these specimens, the resonant frequency was varied between 52 and 332 Hz. The values of the shear wave velocity (VS) and damping ratio (D) determined from these tests were found to remain acceptable up to a resonant frequency of about 175 Hz. Thereafter, with an increase in the torsional stiffness of the specimen, there was a significant decrease in VSof up to 32.2%, corresponding to a resonant frequency of 332 Hz, and a considerable increase in the damping was noticed. An apparent increase in the mass polar moment of inertia of the driving mechanism was also observed at a greater resonant frequency. The study reveals that, even for a stiff specimen, it is possible using the resonant column tests to accurately determine the dynamic properties of the specimen, provided that the length to diameter ratio of the specimen is increased so that the resonant frequency remains smaller than 175 Hz.Key words: damping, dynamic testing, resonant column test, resonant frequency, shear modulus.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".