Dynamic behavior of tunable Bouligand-structured carbon nanotube films under micro-ballistic impact
Bibliographic record
Abstract
Carbon nanotube (CNT) films are promising candidates for ideal protective material due to their lightweight structure and exceptional impact resistance. Inspired by the Bouligand structure, which features helically arranged fibers found in the high-impact-resistant dactyl club of mantis shrimps, we developed a novel series of Bouligand-structured CNT films (BCNTFs) to enhance impact resistance. In this study, the dynamic performance of BCNTFs with different pitch angles (PAs) of 0°, 30°, 45°, 60°, and 90° was systematically investigated using coarse-grained molecular dynamics (CGMD) simulations. The results highlight the significant influence of the structural characteristic parameter η ( η = D / d , where D is the impact projectile diameter and d denotes the CNT chain spacing) on the effects of PA. Specifically, for η = 15, increasing the PA leads to more restricted sliding of CNT chains, which enhances energy dissipation through CNT chain tension, thus improving the impact resistance of BCNTFs. However, at excessively high impact velocities ( v i ) is excessively high (exceed 2 km s −1 ), localized failure of CNT chains diminishes the structural advantages conferred by PAs, resulting in a negligible influence on the protective performance of BCNTFs. For η = 5, sliding behavior becomes more prominent, while stretching weakens. Under this condition, the BCNTF with PA = 45° exhibits the lowest impact resistance, as neither tensile nor sliding mechanisms offer significant advantages. For macroscopic ballistic impacts (i.e., η = + ∞ ), fiber stretching and breaking dominate as the primary energy dissipation mechanisms, allowing materials with superior isotropic properties to efficiently dissipate energy across a broader deformation zone . This paper emphasizes the effects of PA on the impact resistance of BCNTFs under complex environments and provides a design strategy for achieving excellent impact resistance at different structural characteristics. These results support the use of CNT films as next-generation advanced protective materials.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".