THE SKELETON OF EUPLECTELLA ASPERGILLUM AS FOUNDATION FOR THE DEVELOPMENT OF NOVEL COMPOSITE AEROSPACE STRUCTURES
Bibliographic record
Abstract
Biological materials have long attracted the attention of researchers in different science fields owing to their unique structure and mechanical performance. This paper presents some of the key design strategies, adopted by the hexactinellid sponge E. aspergillum. The laminated configuration of the spicules and silica cement, the periodic lattice arrangement and the fusion strategies play a prominent role in enhancing the structural performance of the skeleton. It is established that the overlapping pattern of the spicules, forming the main framework, is not consistent in all sections of the lattice. Several toughening mechanisms which significantly contribute to the damage tolerance capabilities of the skeleton are identified and discussed. In addition, a novel lattice, inspired by the skeleton of E. aspergillum, is introduced. The performed determinacy analysis of the finite and infinite structures indicates that the lattice experiences pre-stressed behaviour characterised with stiffening the internal mechanisms by the states of self-stress.
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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".