Hybrid modeling of composite laminates for structural-scale armormodels
Bibliographic record
Abstract
Abstract: This presentation focuses on the development of a multi-scale hybrid finite element model for composite laminates used as a front and backing layer of a protection system in land armor vehicles. Laminated composites are widely used for impact resistance, energy absorption, stiffness, and structural integrity. A unidirectional carbon fiber reinforced polymer composite laminate is simulated using the MAT_ENHANCED_COMPOSITE_DAMAGE material model in the LS-Dyna® finite element software. The composite model consists of a sub-scaled volume around the impact zone of the protective armor layer, with the remaining areas being a macro-scale homogenous component. The calibrated material model is integrated with other materials to form a structuralscale model that also includes alumina hexagonal tiles and a steel plate which are bonded to the composite layers using a polyurethane adhesive interlayer. Once integrated, this system-scale model is simulated under high-velocity long rod impacts and calibrated with experiments. Overall, this work will give insights towards understanding the influence of the composite layers on the protection system performance and damage propagation through the different layers of the model, which will help in designing improved systems.
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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".