Exploring acoustical approaches for pre-screening the airtightness of building enclosures
Bibliographic record
Abstract
The air infiltration through the building enclosure plays a significant role in the energy performance of a building and in the ability to obtain comfortable conditions. The building airtightness is typically detected using experimental tools such as blower door devices, together with other approaches such as tracer gas methods. However, the estimation of the building airtightness through these methods can be expensive, time-consuming, and dependent on weather conditions. The importance of a rapid estimation of the air infiltration through a building envelope suggests to search for easier assessing methods. In this paper, the acoustic method as proposed in the ASTM E1186 is considered, and the correlations between the sound transmission loss of several windows and their airtightness levels are explored. The results reveal a poor correlation between the airtightness of the windows and their sound insulation performance. However, the weak relationship discourages the use of simple acoustic approaches based on the simple sound transmission loss assessment and reinforces the need to adopt beamforming techniques for accurate assessments of building enclosure deficiencies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".