PurePave: pioneering permeable pavement technology for sustainable stormwater management in sponge cities
Bibliographic record
Abstract
This study evaluates PurePave, a hydrophobic polyurethane (PU)-based permeable pavement (PP) system developed to address the limitations of traditional PPs, including low strength, limited durability, and poor stormwater management. The influence of varying PU binder content and different aggregate types and sizes on engineering properties was investigated. The optimized mix, using multi-red and white quartz aggregates with a 3:2 PU ratio, achieved compressive and flexural strengths of 39.5 and 6.18 MPa, respectively. Despite the high binder content, permeability remained between 1.05 and 1.3 mm/s, with porosity of 17%–21%. The system also indicated stable performance under freeze–thaw conditions, with less than 0.5% mass loss after 40 cycles. Stormwater analysis showed that replacing 20% of a 10 ha impervious surface with PurePave could fully manage runoff from a 100 year, 24 h storm. The system’s flexibility and fatigue resistance suggest its suitability for high-traffic urban areas, supporting its potential use in sustainable stormwater infrastructure.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".