Numerical and Experimental Analysis for Flexure Behavior of Pyramidal Core Sandwich Composite
Bibliographic record
Abstract
Due to the significant need in applications for lightweight and high strength, studies began on a sandwich composite with a pyramid core because it provides design flexibility and offers improvement in bending resistance so is widely preferred compared to other core's forms.While the strength of sandwich panels with lattice cores is influenced by the material and topology, the mechanical properties of these structures have to be enhanced.It requires the use of high-strength materials, so this research presents a composite sandwich structure containing carbon fiber sheets 0/90 with epoxy used as the sandwich skin., while epoxy is used as the pyramid core.Two basic pyramidal geometries are designed according to the ASTM C393-00 standard, investigated under a three-point bending test by quasi-static bending loads, and explored to explore the effect of different basic unit cell topologies and core densities on the mechanical behavior of the sandwich.From the experimental results obtained the second design obtained the highest maximum load (3.9 kN) and the highest stiffness (88.3 MPa) compared to the first design, whose maximum stiffness is 39 MPa.According to the analysis results, the sandwich panel with the first geometry (2×5 unit cell) has the highest Von -Mises stress about (414 Mpa) and relative density of 0.28, while the second geometry (2×3 unit cell) has the lowest Von Mises stress (201.5 Mpa), lowest deformation (1.8127 mm), less elastic strain (0.06249), and low and relative density of 0.16 when compared with the first geometry, which made it a better design than the other and this agree with the experimental part.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".