Doubly curved truss core composite shell system for broadband diffuse acoustic insulation
Bibliographic record
Abstract
The lattice sandwich structure as a new periodic sandwich model involves high stiffness and superior strength to density ratio, which can be applied for modeling lightweight systems. Compared to conventional sandwich models, it includes additional potential due to the presence of open space in the core. In other words, because of the property of 3D open-pore, the pyramid truss core can be considered as a creative model in process technology. Nevertheless, the acoustic characteristics of these types of cores can also be important in vibroacoustic performance of doubly curved sandwich systems. Accordingly, this study develops an analytical model for the first time to determine the sound transmission loss (STL) coefficient of a doubly curved sandwich shell with solid trusses considering various unit cells containing pyramidal, tetrahedral, and 3D-kagome. Modeling the system based on diffuse field, a numerical strategy is developed to obtain the limiting angle wherein no sound transmits into the system. To verify the accuracy of the offered formulation based on shear deformation shallow shell theory (SDSST), the results are validated with those experimental and numerical outcomes. It is found that modeling a shell as a truss core sandwich structure either attenuates the sound transmitted into the system or shifts the first dip point of the STL curve (curvature frequency) to lower frequencies. Numerical simulations indicate that the various terms of truss core have a different effect on STL of the modeled structure.
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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) | 0.000 | 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) | 0.001 | 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 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".