Investigation of a Novel Composite Cladding Wall Panel in Flexure
Bibliographic record
Abstract
A composite panel consisting of polyurethane foam core sandwiched between two carbon fiber-reinforced polymer (CFRP) skins is investigated in one-way bending. While most studies on sandwich panels are typically geared towards aerospace applications, to the authors' knowledge, this is the first study on application in cladding of buildings. Ten panels were tested to investigate their structural performance and failure modes. Test parameters include consistency of quality and performance, moment-shear ratio, moisture absorption and orientation of architectural masonry-like coating. The panels were 14 times lighter than conventional reinforced concrete panels of equivalent strength and stiffness. The study showed that design is stiffness driven as deflection limits in service will likely govern. Shear deformations of core may have a significant contribution to deflections. Most common failure mode was outward buckling of CFRP skin. Some panels failed by shear in the foam core, and in one panel, CFRP skin crushed. When the masonry-like coating was positioned in compression, it forced a shear failure but when located in tension to simulate wind suction, skin buckling occurred at lower load. While this study showed excellent potential for this novel cladding, it is recommended to laminate FRP layers to prefabricated solid foam cores, rather than injecting liquid foam in between FRP skins, to improve quality control during fabrication.
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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".