Alkali-Activated Mine Tailings and Solid Wastes as Precursors for Geopolymers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Former mining activities may pose a threat to the environment if not being handled correctly due to neglecting proper conservation methods at the time of mine closure.While dumping is the most common way of disposing of solid industrial waste such as tailings, fly and bottom ashes, slags etc., those materials are in fact a valuable source of secondary raw minerals.Thus, they could be recycled in a variety of products to turn the waste streams into value via the promising geopolymerisation technology.This article presents a study on the conversion of mine tailings and industrial by-products into geopolymers.Geopolymers based on alumino-silicate fines (steel-making slags and mine tailings) were synthesized using alkaline activation comprising sodium silicate.While the hardening of compositions occurs slowly at ambient temperature, elevated temperatures could change the leaching behaviour and decrease copper release from geopolymer matrix.Compressive strength of the proposed composition was 492 MPa after 90 days of curing.The results provide insights of possible reduction of the environmental footprints and potential economic benefits of mine tailings-based geopolymer composites for building applications utilizing mine tailings as suitable concrete material.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it