Development of Green Geopolymer Binders Based on Construction and Demoliton Wastes
Bibliographic record
Abstract
<p>This research focuses on the complete recycling of construction and demolition wastes (CDWs) to develop new green geopolymeric binders. An innovative mix design method based on (SiO2/Al2O3) and (Na2O/SiO2) chemical factors and liquids/solids (L/S) ratio was developed. The main focus was to optimize the compressive strengths of mixes incorporating mono, binary and ternary geopolymer systems of concrete waste (CW), red clay brick waste (RCBW) and ceramic tile waste (CTW). The effects of high temperature curing and the addition of supplementary cementitious materials (SCMs) were also investigated. Fresh properties comprising slump flow and setting time and mechanical characteristics including compressive strengths were investigated. Microstructural study was performed utilizing scanning electron microscopy (SEM), energy-dispersive X-Ray spectroscopy (EDS) and X-Ray Diffraction (XRD). This research proved the efficiency of the new mix design method in reaching high compressive strengths of mono-system of RCBW and CTW and all binary and ternary systems of geopolymer binders.</p>
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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 | 0.000 | 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) | 0.000 | 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".