Bio-based sandwich beams made of paper honeycomb cores and flax FRP facings: Flexural and shear characteristics
Bibliographic record
Abstract
Sandwich composite panels have been used in construction as building envelopes and cladding systems . The sandwich composite used today are mainly made of conventional synthetic foam cores and synthetic fiber-reinforced polymer (FRP) facings, typically made of glass or carbon fibers and synthetic polymers . With increasing environmental consciousness, it is important to develop sustainable building materials to replace conventional building materials with more sustainable materials such as bio-based fibers and polymers. There is lack of studies on sandwich composites made of bio-based materials for both core and facings. In this study, 18 sandwich beam specimens (1200 mm long and 100 mm wide) made of flax FRP facings and 75 mm thick paper honeycomb core were fabricated and tested under three-point bending. The parameters of the tests were facing thickness (1, 2 and 3 layers of flax FRP) and core types (hollow and foam-filled). It was found that the paper honeycomb has comparable performance with lighter weight to other synthetic counterparts and foam-filling was effective in improving the performance of the core and sandwich beams. In addition, as the nonlinear behavior of the specimens was evident, a new analytical model was developed based on the material nonlinearity of both facings and core materials to predict the test data and perform a parametric study . Overall, the bio-based sandwich system showed substantial potential to be used for building applications with much less environmental footprints in comparison with other synthetic counterparts.
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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) | 0.001 | 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".