On using multiple Kij's in the EN12354 acoustics prediction model to represent excess attenuation in flanking surfaces
Bibliographic record
Abstract
EN12354 is a standardised method to compute the apparent sound insulation of building assemblies formed by wall and floor elements that are assumed to be heavy, monolithic, homogeneous and moderately damped. However, most large walls and floors are not perfectly homogeneous, they are made by joining together a series of smaller more manageable pieces, (e.g., precast concrete, plasterboard, glass panes, etc.). Depending on the mechanical properties of the joints between panels, there may be significant excess attenuation, which in most cases indicates the surface must be treated as a series of connected panels. This summary paper shows that EN12354 is based on simplified SEA and can be extended to account for excess attenuation introduced by junctions between the elements. However, the effective Kij necessary to account for the excess attenuation is not simply the sum of the Kij's for all junctions, as this leads to significant errors.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".