Stiff, strong and tough laminated glasses with bio-inspired designs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Glass is an attractive material with outstanding transparency, hardness, durability and chemical stability. However, the inherent brittleness and low toughness of glass limit its applications. Overcoming the brittleness of glass will help satisfy the rapidly increasing demands of glass in building materials, optical devices, electronics and photovoltaic systems, but it has been a challenge to create glass that is stiff, strong and tough while maintaining its transparency. In this study we explore how the basic design of laminated glass can be enriched with bio-inspired architectures generated with laser engraving. We assess the performance of designs based on continuous plies (90° cross plies, Bouligand), finite glass blocks (segmented Bouligand, nacre-like brick-and-mortar) and hybrid designs. It shows that simultaneous improvements of stiffness, strength and energy absorption upon continuous ply designs can be achieved by promoting delocalized shearing of the polymeric interlayer over brittle fracture of the glass building blocks, and by only placing enriched architectures under tensile deformation so that interlayer shearing can be realized. This principle can be realized simply by adjusting size and arrangement of the building blocks, and by combining continuous plain layers with architectured layers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it