Design and testing of a DNA-like torsional structure for energy absorption
Bibliographic record
Abstract
A torsional structure with a DNA-like chiral core is proposed and investigated for energy absorption with a frictional mechanism. The DNA-like chiral core can generate a twisting deformation under axial loading. Based on this behavior, the proposed torsional structure exhibits a unique energy absorption capacity by structural collapse and torsion-induced friction. Additive manufacturing is used to prepare five sets of metal specimens with the new DNA-like chiral core structure. A series of quasi-static compression experiments are carried out to obtain the compressive stress–strain relationship and induced twisting angle of our designed structure. The experimental results show distinct energy absorption mechanism and effectiveness of the design which are subsequently used to validate the finite element simulation. The results of the experiment and numerical analysis show that the torsional friction between the top cap of the structure and the outer block can absorb around 10% of the total compression energy input. Furthermore, geometry parametric studies are conducted to investigate the effects of design parameters on energy absorption property of the proposed structure.
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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 | 0.001 | 0.000 |
| 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 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".