Experimental Studies on Fly Ash Gypsum Slurry in Aggressive Environment
Bibliographic record
Abstract
This study investigates the properties of fly ash gypsum slurry with quarry waste in aggressive environment.The mix was adjusted for 400±25mm flow, including and excluding super plasticizer.The research focuses on a variety of factors, including wetting and drying resistance, sulphate resistance, salt resistance, and water absorption.For the purpose of accelerating up laboratory testing, specimens were soaked in 3% magnesium sulphate for sulphate attack 3.5% sodium chloride solution for salt attack.By adding super plasticizer, fly ash gypsum slurry with quarry waste requires 17% less water, resulting in a 400±25mm spread of flow.Following 28 days of curing, six cycle wetting and drying tests were performed.The findings of the investigation show that adding super plasticizer improves the durability of fly ash gypsum slurry.This enhancement is observed through the evaluation of mass loss and compressive strength in specimens exposed to different environmental conditions over a 28-day curing period.
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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 | 0.000 | 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) | 0.001 | 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".