ECO FRIENDLY CONCRETE FOR SUSTAINABLE STRUCTURES
Bibliographic record
Abstract
The present article contemplates the study of eco friendly concrete by substituting Portland cement (PC) for very high levels of limestone filler (LF) in binary and ternary mixtures with fly ash (FA) in proportions of 50 to 80%, with ratios 0.25 a/b and optimization of the particle size. Results of compressive strength, CO2eq emission, energy consumption and binder intensity are presented, with which comparative indices were calculated to observe the performance of the mixtures. From the point of view of sustainability, it was possible to prepare concrete with a compressive strength of 51.8 MPa, at 91 days, with 77 kgCO2.m-3 of concrete, where 80% of the PC were replaced by 70% of LF and 10 % of FA, with consumption of only 97 kg.m-3 of PC (87 kg.m-3 of clinker) and 104 L.m-3 of water. The study shows the achievement ofstructural concrete with fck of up to 80 MPa with very low CO2eq emissions and energy consumption, through the use of high levels of mineral additions (MA) and reduced environmental impact.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".