Experimental Evaluation of Abrasion Resistance in Hydraulic Structures Using Recycled Cement-Asphalt Materials
Bibliographic record
Abstract
Concrete production has grown significantly, initially driven by urban development, followed by advances in construction techniques and the widespread adoption of on-site manufacturing.This increased production has led to a substantial amount of concrete waste, with some regions reporting waste volumes equivalent to up to 80% of the original concrete produced.To address the environmental impact, sustainable approaches have been developed to reduce concrete waste through recycling.Extensive research has been conducted on the effects of various methods on the properties of concrete, including recycling and mixing it with other construction materials.This study focuses on small hydraulic structures constructed from recycled asphalt concrete.A mixture was formulated based on experimental and laboratory data to attain a strength of 30 MPa at 28 days of age.Samples of recycled asphalt concrete and conventional concrete, measuring 20×20×5 mm, were produced to assess corrosion levels using the water jet method.The results indicated that the recycled asphalt concrete exhibited a lower corrosion rate than conventional concrete after both 7 and 28 days, particularly at water jet angles of 45° and 90° .These findings suggest that hydraulic structures made from recycled asphalt concrete may have a longer service life due to enhanced corrosion resistance, contributing to more sustainable and environmentally responsible construction practices.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".