Bibliographic record
Abstract
An innovative biocomposite material utilizing reclaimed material and Saskatchewan crop residue is under development. This material is intended to not only minimize the societal, environmental footprint by using sustainable or reclaimed material, but also provide good acoustic and vibration damping and possess semi-structural, construction strength. This value-added product is to be designed into an acoustic barrier in construction areas or along traffic corridors. By varying the combination of natural fibres, such as flax or hemp fibres, with reclaimed polymers, such as polypropylene and rubber, a resilient material with ultimate strengths ranging from 3 to 5 MPa with the capacity to attenuate acoustic noise by 20 dB have been manufactured and evaluated by University of Regina researchers. These properties of good acoustic and vibration damping capacity and high strength essentially are inversely related with increased fiber content. Basically, an increase in fiber content tends to increase the damping capacity yet decrease the strength. Generally, a compromise between these competing properties of strength and damping can be achieved with 30 to 50% fiber concentration of the biocomposite. To improve the structural strength, the manufacturing processes of compression moulding and extrusion combined with compression moulding have been compared with the latter providing improved strength characteristics. Also, fiber processing prior to manufacturing affects strength, density, water absorptive and acoustic absorptive. Fundamental engineering design can be applied to further improved structural integrity and enhance the acoustic damping properties of the material to create a functional acoustic barrier along a traffic corridor.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".