On the Use of Condensation Models for Describing Highly Damped Multilayered Structures
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Bibliographic record
Abstract
The use of condensed models is an alternative approach to describe multilayered structures and evaluate vibroacoustic indicators with reduced computational cost. This approach is particularly interesting in the context of adaptive multilayered structures, where condensed models can be used to determine the effective properties in reduced time whenever a configuration update is required. This study aims to determine the effective properties of a sandwich structure with a shape memory polymer (SMP) core. The mechanical and damping properties of the SMP used in this study are frequency and temperature dependent, and the sandwich structure can exhibit excellent damping capacity by adjusting the temperature of the SMP core. The effective properties are determined based on the conservation of the bending, shear (transverse) and extension (quasi-longitudinal) wavenumbers for a homogeneous and isotropic thin plate. Two highly damped configurations are studied: in one, the structural damping loss factor is 0.89 on average; in the other, 0.56. The discrepancy in the frequency responses shows that this approach is insufficient to treat sandwich structures with SMP core at high damping configurations.
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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 | 0.002 | 0.002 |
| 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