LASER INDUCED SHOCK WAVES FOR COMPOSITES ADHESIVE BOND TESTING
Bibliographic record
Abstract
A method based on shock waves produced by a pulsed laser is applied to the evaluation of bond strength of composite plates joined by an adhesive layer. A laser shock wave can cause a delamination when it propagates through the adhesive/plate interface. Different laser pulse energies can be used to evaluate this adhesion strength. A good bond will be unaffected by a certain level of shock wave stress whereas a weaker one will be damaged. The method is made quantitative and in‐situ by optically measuring the sample surface velocity with an interferometer. The signals give a signature of well‐bonded and disbonded interfaces, and are used to obtain an estimate of the bond strength. Results show that the proposed test is able to differentiate bond quality. Also, laser‐ultrasonic measurements made on shocked samples confirmed that weak bonds are revealed by the laser shock wave method.
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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".