Green Ultra-High-Performance Glass Concrete
Bibliographic record
Abstract
This paper presents research work on the development of a green type of ultra-high-performance concrete at the University of Sherbrooke using ground glass powders with different degrees of fineness (UHPGC). In UHPGC, glass is used to replace quartz sand, cement, quartz powder, and silica-fume particles. UHPGC design is based on particle packing density, mechanical properties, and specific rheology. Mixes are designed to suit the rheology and mechanical performances of different concrete applications. Depending on composition and curing conditions, UHPGC can provide improved rheology (mini-slump spread of 260 mm), higher mechanical properties (compressive strength greater than 200 MPa, flexural strength more than 25 MPa). A case study of using this UHPGC is presented through the design and construction of a footbridge.
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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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".