Microstructure of Carbonation-Activated Steel Slag Binder
Bibliographic record
Abstract
A steel slag material demonstrated rapid hardening and a considerable gain in compressive strength upon reacting with carbon dioxide. Two-hour carbonated paste compacts achieved an average compressive strength of 80 MPa, warranting the slag’s consideration as a cement-like binder for building applications. The microstructure of this CO2-activated binder system was examined. The reaction was found to engage the di-calcium-silicate component of the slag to generate a hardened matrix consisting of CaCO3 and a low-lime calcium-silicate-hydrate (C─ S─ H) phase. The latter differed in composition and structure from C─ S─ H variants generated from normal portland cement hydration. Raman spectroscopy confirmed bands (330, 510–550, 600–630, and 1,005 cm−1) consistent with C─ S─ H species having low-lime compositions. High-resolution transmission electron microscope (TEM) resolved lamellar features for C─ S─ H with short basal spacings (averaging 0.73 nm), correlatively indicating superior interlayer cohesion. Moreover, abundant nano-CaCO3 crystals were found interlocked within the C─ S─ H phase, forming a dense nanoscale composite matrix. Such a proposed binder system is completely by-product-sourced, thus presenting the potential of eliminating or significantly reducing the carbon footprint of building products.
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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) | 0.002 | 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".