Experiments and nonlinear analysis of the impact behaviour of sandwich panels constructed with flax fibre-reinforced polymer faces and foam cores
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
As the effects of climate change become more apparent, it is necessary that environmental impact is considered in every aspect of our society, including the design of new infrastructure. The use of natural materials for building construction is one way to improve the sustainability of infrastructure and therefore it is important that the behaviour of structures made with natural materials be investigated extensively and well understood. In this study, the performance of sandwich panels constructed with flax fibre-reinforced polymer faces and foam cores under impact loading is studied experimentally and analytically. The parameters of the tests were facing thickness (1, 2 and 3 layers of flax fabric) and core density (32, 64 and 96 kg/m 3 ). Each specimen was 1220 mm long, 152 mm wide and approximately 80 mm thick and was tested by a 10.41 kg drop weight impact at mid-span. Each specimen was tested multiple times starting at a drop height of 100 mm and increasing the height by 100 mm for each subsequent test until ultimate failure. The results indicate that the ultimate impact energy increases with both core density and face thickness. The four main failure modes observed were: compression face crushing, compression face wrinkling, core shear and tension face rupture. The failure modes observed generally matched those observed during similar quasi-static testing. Additionally, a nonlinear incremental iterative model was developed based on the conservation of energy during an impact event and the nonlinear mechanical behaviour of both the fibre-reinforced polymer faces and foam cores. This novel model accurately predicts the total deflection and face strains based on the energy of an impact.
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) | 0.001 | 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 it