Subharmonic and superharmonic resonances of five-layered porous functionally graded sandwich cylindrical shells with two-layered viscoelastic 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
In this research, the subharmonic (SUBH) and superharmonic (SUPH) resonances of five-layered porous functionally graded sandwich (PFGS) cylindrical shells with two-layered viscoelastic cores (VECs) are investigated. The sandwich cylindrical shell is composed of three porous functionally graded (PFG) face layers and two VECs. The VECs are made of Kelvin–Voigt type material. The material properties of the PFG face layers are considered as continuous through the thickness of each face regarding a porosity coefficient and a volume fraction index. Two types of five-layered PFGS cylindrical shells with two-layered VESs, including porosity evenly distributed (Type 1) and porosity unevenly distributed (Type 2) along the thickness direction, are considered in this research. Based on the Donnell shell theory, von-Kármán equation, and Hooke’s law, the stress-strain relations are developed for the five-layered PFGS cylindrical shells. The discretized governing equation via Galerkin’s method is also derived. With the governing equations proposed and the method of multiple scales, the SUBH and SUPH resonances of the shells are investigated systematically. The influences of geometrical, and material parameters on the SUBH and SUPH resonances of the system are studied and presented. New results for SUBH and SUPH resonances of the five-layered PFGS cylindrical shells with two-layered VECs are provided for the first time and can be utilized as a benchmark for researchers and engineers in this area.
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) | 0.000 | 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) | 0.000 | 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 it