Effect of fly ash/silica fume ratio and curing condition on mechanical properties of fiber-reinforced geopolymer
Bibliographic record
Abstract
In this study, the effects of fly ash/silica fume (F/S) ratio and curing conditions on mechanical performance of fly ash based plain and steel fiber reinforced geopolymer (SFRG) was investigated. Plain geopolymer was prepared using NaOH solution of 14 molarity, Na2SiO3/NaOH of 2.5 and paste/fine aggregate of 0.36. For SFRG, the volume fractions of 0.5% and 1% were used. The F/S ratio was varied from 100/0 to 70/30. The specimens were cured under normal and accelerated conditions. Four experiments were carried out: flow, setting time, compression, and flexural performance tests. The results indicated that the addition of fibers enhanced the mechanical properties. The effect of F/S ratio depended strongly on the curing condition. Under ambient curing, the optimum F/S ratio of 90/10 was observed. For accelerated curing, the addition of silica fume provided negative effect on the mechanical properties. The optimum F/S ratio was observed in mix without silica fume.
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.
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 | 0.001 | 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) | 0.001 | 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 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".