Effect of Coarse Aggregate Size and Grouting Process on Properties of Preplaced Aggregate Concrete
Bibliographic record
Abstract
Preplaced aggregate concrete (PAC) is produced by first pre-placing the coarse aggregates and then injecting a grout to fill in the voids between the aggregates.This study aims to investigate the effects of coarse aggregate size and grouting process on PAC through experimental study.The effect of flowability and compressive strength of grout is explored.A suitable grout mix is then selected to investigate the effect of different coarse aggregate sizes i.e. 14 mm, 20 mm, 37 mm and 45 mm on the properties of PAC.Effect on PAC using two different grouting processes, namely pumping process and gravity process is investigated.Pumping the grout into preplaced aggregates resulted in lesser void ratio and higher compressive strength.Using 20 mm size aggregates for production of PAC is recommended to achieve higher compressive strength and better resistance to chloride ion penetration.
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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) | 0.001 | 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".