Detecting Cracks in Isotropic Plates Using Contact Acoustic Nonlinearity
Bibliographic record
Abstract
This paper investigates using second harmonic of symmetric Lamb wave (S0) for detecting cracks in aluminum plates induced by contact acoustic nonlinearity (CAN) experimentally. The generation of nonlinear guided waves around the crack is studied in an aluminum plate. The effects of crack on generation of second harmonic of guided waves are investigated. The data is acquired in time domain and is processed using a signal processing approach consists of several applications in frequency and time-frequency domain. The results show that crack induces CAN which can be observed in form of higher harmonic of guided waves in frequency and time-frequency domain. Also it is shown that crack induces wave distortion with small magnitudes which can be observed in time domain data. However, the magnitude of wave distortion is not large enough to confirm the existence of crack in aluminum plates. The results show that nonlinear wave technique does not require base line data and can successfully detect cracks in aluminum plates.
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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 | 0.000 | 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) | 0.000 | 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".