Experimental investigation of pozzolanic concrete containing wheat straw ash
Bibliographic record
Abstract
This study investigated the detailed optimization of wheat straw ash (WSA) as a pozzolanic material. Characterization of WSA as pozzolanic materials was carried out according to ASTM C618 and results indicated that WSA calcined at 700 °C for 2 h fulfilled ASTM C618 requirement and results were also confirmed by X-ray diffraction (XRD) analysis of WSA samples. Effect of WSA on setting time, mechanical properties, alkali–silica reaction (ASR), hydration process, and microstructure of cement paste (CP) and concrete was studied. Compressive and flexural strength of concrete mixture containing 14% WSA was 7.5% and 19.5% more as compared to control mixture at 28 days respectively. ASR expansion of mortar prisms and hydration temperature was reduced due to WSA incorporation. XRD and scanning electron microscopy investigations of CP indicated that WSA improved the microstructure of CP and was effective in imparting the pozzolanic characteristics during hydration reaction at 7 and 28 days.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".