Correlations between Different Hardened Properties of High-Strength Self-Consolidating Concrete Including Palm Oil Fuel Ash
Bibliographic record
Abstract
Palm oil fuel ash is considered as an agro-waste material in Malaysia. Various investigations have been conducted on the use of palm oil fuel ash as a supplementary cementing material for concrete. In the present study, palm oil fuel ash was used as a partial replacement of normal portland cement to produce high-strength self-consolidating concrete. In total, twenty (20) self-consolidating concrete mixes were prepared by varying water to binder ratio, palm oil fuel ash content, and high-range water reducer dosage. Palm oil fuel ash was used by replacing 0–30% of normal portland cement by weight at the water to binder ratios ranging from 0.25 to 0.40. The compressive, splitting tensile and flexural strengths, modulus of elasticity, ultrasonic pulse velocity, and porosity of various self-consolidating concrete mixes were investigated. However, the correlations between the hardened properties of concrete were emphasized in this study. The experimental findings revealed that strong correlations exist between different hardened properties of high-strength self-consolidating concrete.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".