Using non-destructive testing to evaluate geogrid-stabilised aggregates subject to accelerated traffic loading
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Roadways include stiff aggregate layers, which support and dissipate traffic loads before reaching the subgrade soil. The aggregate stiffness must be preserved to reduce rutting severity. Geosynthetic-stabilisation can preserve the aggregate stiffness through aggregate-geosynthetic interaction at small strains. The performance of geosynthetic-stabilised roadways depends on the properties of both the geosynthetic and the selected aggregate. A study was completed at the University of Saskatchewan to determine the relative performance of two geogrids used to stabilise two types of aggregate. A recently built full-scale wheel trafficker system applies accelerated traffic loading to 1.5 m wide unsurfaced test sections. Accelerometers were installed on the surface to measure changes in the aggregate stiffness with traffic loading using multichannel analysis of surface waves (MASW). This method facilitates non-destructive measurements of stiffness at numerous depths throughout the aggregate. The average shear wave velocity and rutting performance are presented for each soil-geogrid composite.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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 it