Propagation of laser weak shock waves in a three-dimensional woven composite composite
Bibliographic record
Abstract
The propagation of a laser-driven shock wave in an aeronautic composite material is investigated. The material, made of three-dimensional carbon fiber lattices embedded in an epoxy matrix, is heterogeneous and anisotropic, due to the intrinsic anisotropy of the carbon fibers and to the weaving process. The shock is generated by a 10 ns laser pulse, focused on the material surface. Its ablation results in an expanding plasma, which induces a shock wave in the material with a peak compression stress of a few GPa. Starting from an optical microscopy visualization of the weaving, a differentiation between resin and fibers and a segmentation of the fibers lead to an evaluation of the material's local elastic properties below the laser spot position. The shock propagation is simulated using a nonlinear source model, combined with a time domain finite difference discretization of the equations of linear elastodynamics with Lebedev's scheme adapted to the material anisotropy. The high frequency content of the signal, the material heterogeneity and anisotropy induce a complex propagation. A measurement campaign has been performed for several samples and repeated laser illuminations. Experimental data are statistically compared to the model outputs and discussed.
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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 | 0.000 | 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 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".