Theoretical and experimental study on ballistic performance of CFRP laminates under high velocity impact
Bibliographic record
Abstract
Abstract This work investigated the ballistic performance of CFRP laminates with different thicknesses using a ballistic gun testing apparatus. By combining high-speed camera and recovered target plates, the failure mechanisms of CFRP laminates under high-velocity impact were revealed. The results showed that due to the combined action of compressive and shear loads, fiber fracture, matrix crushing, and splitting along the fiber direction mainly occurred on the impact face of the target plate. The back face of the target plateprimarily appeared fiber fracture and delamination failure under tensile loading condition. When the projectile impact velocity exceeds the ballistic limit, the energy absorption value of the target plate becomes relatively flat, and the average energy absorption and the ballistic limit of CFRP laminates of the target plate increases with the increase of plate thickness. The rigid projectile perforation model by Chen & Li can predict the ballistic performance of spherical projectiles impacting CFRP laminates at high velocity well. Furthermore, it’s better to match the theoretical prediction model of the target plate inertia effect and the experimental data.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".