Recyclable polyester textile waste-based composites for building applications in a circular economy framework
Bibliographic record
Abstract
There is a growing need for sustainable solutions to address the increasing levels of textile waste at both post-industrial and post-consumer stages. Easily implementable solutions could accelerate adoption in circular economy applications. In this context, post-industrial polyester and a water-soluble adhesive were combined to fabricate recyclable textile-based composite panels using a room-temperature processing method, reinforcing sustainable practices by lowering energy demands and material use. The resulting composites exhibited tunable acoustic performance : increased textile content enhanced sound absorption but introduced higher porosity during fabrication, which affects the material's overall performance. Additionally, the composites displayed a low thermal conductivity of 0.05 W/m·K, making them suitable for energy-efficient insulation applications, and enhanced toughness, with optimal flexural toughness at 37 wt% and impact toughness at 52 wt% textile content. The ability to recover the materials at room temperature using water demonstrates a simple and effective recycling process, further extends their lifespan, highlighting their potential for resource-efficient reuse within a circular economy framework. These recyclable composites can be directly applied in building construction, offering a sustainable alternative for applications such as insulation panels, acoustic treatments, and non-structural building components. This research advances efforts toward resource-conscious and sustainable production by reducing textile waste and promoting the circular reuse of materials in the construction industry.
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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".