Experimental Evaluation Of Acoustic Characteristics Of Ball Straw Walls
Bibliographic record
Abstract
Natural fibres are becoming a valid alternative for sound absorption treatments at a reduced cost. Indeed, these fibres generally present good insulation properties and presents no health hazard.To insulate industrial, road traffic and railroad noises, straw ball can be envisaged as insulation materials. Thus, This paper presents an investigation in the characterizations of acoustic walls developed from straw ball. In order to protect straw fibres and improve the mechanical behaviour, a second variant of straw wall is made with ball straw immersed in the cement slurry.The experimental tests, have been conducted in an open space to predict acoustic performances and measure absorption coefficient, Noise Reduction Coefficient (NRC) and transmission factor. The acoustic properties are determined by experiments at frequency intervals between 125 Hz and 4000 Hz. Simulation shows a very good acoustic performances for the straw ball wall, with the absorption of more than 70 % of the incident noise for medium and high frequencies and the transmission of no more then 21% of the incident noise for all studied cases.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".