Reuse of Hollow Concrete Blocks Waste in the Formulation of an Eco-Mortar Reinforced with Natural Fibers for Use in Filling Materials
Bibliographic record
Abstract
As a fact of matter, the aim of this paper is to produce a new ecological mortar based on recycled aggregates from hollow concrete blocks waste and reinforced with natural Diss fibers for use in manufacturing filling materials and masonry blocks, for the purpose of reducing the impact of such waste on the environment on the one hand, and making the most of the Diss plant, which is abundant in Algeria, on the other.In virtue of which, for achievement purpose of this work, we partially substituted the crushed-stones sand (CS) of a mortar reinforced with Diss fibers with recycled sand (RS) from hollow concrete blocks waste at rates of 15%, 30% and 50%.Besides, the produced mortars were subjected to density, consistency and air occlusion tests in their fresh state; moreover, they have alike been subject to compressive strength, flexural tensile strength, water absorption by immersion and capillary action, chemical resistance to acid and alkali, and chloride ion penetration tests in the hardened state.As consequence, the results illustrated improvements in consistency, mechanical strength and resistance to chemical attacks, with a slight increase in chloride ion penetration.
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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) | 0.001 | 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".