Scattering and Shielding Analyses of Carbon Fiber Composites-Based Cylindrical Shells Using a Multifilament Doublet Current Method
Bibliographic record
Abstract
We present in this paper, a multifilament doublet current method (MFDCM) combined with the tensorial impedance boundary condition (TIBC) to simulate and analyze scattering and shielding performances of carbon fiber composite (CFC) material-based cylindrical shells. The TIBC of a shell made up with the multilayered CFC material with an arbitrary fiber orientation in each layer is introduced and derived. The MFDCM is subsequently formulated by employing the TIBC to handle numerical calculations with the anisotropic lossy material, such as a multilayered CFC material, for the first time. Monostatic and bistatic echo widths are investigated with reference to different layer numbers, fiber orientations, and incident wave polarizations. These different scenarios are also taken into consideration in the shielding effectiveness (SE) prediction. Both TE and TM modes are excited within the cylindrical shell under arbitrary incident plane waves over a high frequency range. Results are in excellent agreement with published ones. The proposed method has its merits on simplicity and conciseness. Also it can be applied to handle shells of arbitrary smooth cross sections.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".