Effects of Sulfuric Acid on Geopolymer Composites
Bibliographic record
Abstract
This report investigates the effects of sulfuric acid attack on the High-Performance Concrete (HPC) and Engineered Geopolymer Composite (EGC) mixes. Specimens from a total of 28 EGC mixes and 10 HPC mixes were selected for this study. A sulfuric acid solution with concentration of 10% was used for examining the resistance of concrete specimens over a period of 45. The durability of concrete mixes was evaluated by measuring the weight loss, change in strength, thermal conductivity and UPV value. The results of the weight loss reveal that the EGC mixes were more resistant to sulfuric acid attack than HPC mixes. The mixes with ternary binders of class c fly ash, silica sand, and class f fly ash experienced the greater strength loss after exposure to high concentrations of sulfuric acid as opposed to the binary mix of class c fly ash and silica sand. A significant decline in compressive strength of HPC specimens was observed as compared to EGC specimens.
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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) | 0.002 | 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".