Bibliographic record
Abstract
Stockpiling or landfilling discarded tires poses major problems for the environment. In order to address these problems, several methods are currently employed to reuse discarded tires. One of these methods, which is gaining popularity, is to shred discarded tires into tire derived aggregates (TDA) and use them in civil engineering purposes such as backfill material for embankments or foundations. Despite the recent popularity of TDA, the experimental research to identify its geotechnical properties is limited or non-existent. Furthermore, most of the research done was either with small size TDA particles, to accommodate the readily available small-scale triaxial machines, or used direct shear apparatus which has limitations such as predefined failure surface and limited control over confinement pressure. In this study, the physical properties of five different TDA-gravel mixtures were evaluated using a large-scale triaxial machine. The TDA used in this study was the same size TDA used in civil engineering projects. All the tests were conducted according to ASTM standards. Finally, the results of deviatoric stress and volumetric strain vs axial strain for each mixture was reported and discussed.
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 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".