Optimization of silencers for interior natural ventilation openings.
Bibliographic record
Abstract
Naturally ventilated buildings are being constructed around the world due to advantages they offer in reduced HVAC operating costs, increased indoor air quality, and government subsidies for “green” construction and certification. Unfortunately, natural ventilation is often associated with a decrease in occupant acoustical satisfaction. One reason for this is the requirement to create acceptable air exchange rates in naturally ventilated buildings that have very limited pressure differentials; airflow paths must offer very low resistance. This leads designers to create paths by connecting adjacent spaces with apertures in the partitions or to use short transfer ducts rather than conventional duct systems. These apertures can be detrimental to the noise isolation provided by the partition. Products exist to attenuate noise through these apertures, but little exists in the literature about their performance. In this work, current methods and new methods of passively silencing interior natural ventilation openings have been evaluated and optimized using finite element simulations. To facilitate the optimization, silencer evaluation and selection criteria based on air flow and acoustical characteristics are proposed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".