Scale-model investigation of the effects of surface absorption and nearby foliage on noise-barier performance
Bibliographic record
Abstract
Two factors that may affect the acoustical performance of highway noise barriers -surface absorption and nearby vegetation -were investigated using a 1:31.5-scalemodel highway.Model materials were chosen by performing excess-attenuation measurements and a best fit to find the effective flow resistivity.Surface absorption was tested on single and parallel noise barriers of varying heights, allowing for a comparison between adding absorption and increasing the height.Foliage tests were performed on single and parallel barriers with various configurations of model trees.Barrier absorption prevented the amplification of sound between parallel barriers; in this case, adding absorption to the full source side of the barriers was equivalent to increasing the height of the barriers by 0.33 m.The foliage test results showed that both scattering and absorption occurred, increasing and decreasing barrier performance by up to 4 dB. s o m m a i r eDeux facteurs qui peuvent influencer la performance acoustique des crans routiers -l'absorption des surfaces et de la vgtation adjacente -ont t tudis l'aide de la maquette d 'une configuration routire l 'chelle rduite de 1:31.5.Les matriaux pour la maquette ont t choisis par l 'intermdiare de tests d 'attnuation excdentaire qui permettaient de determiner la meilleure approximation de la rsistivit l 'coulement partir des mesures prises.L 'effet de l 'absorption surfacique a t test sur des crans simples et parallles de diffrentes hauteurs, ce qui a permis une comparaison entre les effets de l 'absorption et d 'un cran plus haut.D 'autres tests ont t faits avec des crans simples et parallles en prsence de diverses configurations de vgtation.L 'absorption surfaique a empch l'amplification du son entre les crans parallles; le rajout de l 'absorption la surface entire de l'cran ct source a t quivalent une augmentation de la hauteur de l 'cran de 0,33 m.Quant la vgtation, elle a caus et de la diffusion et de l'absorption, tout en augmentant et diminuant la performance jusqu' 4 dB.
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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".