Prediction of flanking sound transmission in lightweight building structures with SEA - conclusions on EN 12354 method
Bibliographic record
Abstract
EN 12354 gives a model for the prediction of sound transmission between adjacent dwellings that can be applied in the stage of design of the building. The model takes also into account first order flanking paths and was originally developed for homogeneous monolithic structures (e.g. concrete or masonry). However, more and more lightweight building elements (e.g. joist floors and gypsum board walls) are used in Europe and hence it is desirable to include this type of construction and ensure the approach and assumptions of En 12354 are consistent with the vibration response of lightweight building structures. Thus in a recent research project a statistical energy analysis (SEA) framework is applied to predict flanking sound transmission through gypsum board walls. In this paper the SEA model and the acquisition of some necessary input data are briefly reviewed. Further the validity as well as the limits of the SEA model are discussed and finally conclusions are drawn for a standardization of the model in the context of EN 12354.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".