Comparison of chloride-induced corrosion between alkali-activated slag concretes and Portland cement concretes
Bibliographic record
Abstract
It is reported that the diffusion of chlorides in Alkali-activated slag (AAS) concretes is lower than that in Portland cement (PC) counterparts and is comparable to concretes containing high volumes of supplementary cementitious materials. This is considered to be due to its dense calcium silicate hydrate structure and relatively better chloride binding capacity due to its high alumina content. However, a critical review of the literature indicated that both the resistance to chloride ingress and chloride-induced corrosion of steel in AAS concretes are not found uniformly in all publications. Further, less is known about the effect of mix proportions, including binder content, water-binder ratio, role of activator, etc. on the rate of chloride transport through AAS concretes. As a consequence, there is conflicting information on the ability of AAS concretes to delay both the onset and the rate of corrosion of embedded steel in such concretes. Therefore, a thorough investigation was carried out focusing on their permeation properties and the corrosion behaviour in them. The results obtained from this research has illustrated that AAS concretes could achieve lower non-steady state diffusion coefficient and higher degree of chloride binding, resulting in improved corrosion resistance. However, there is a need to optimise mix proportions as there was a significant influence and interaction between both Na2O % and Ms of water glass used as activator for the AAS binder.
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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 | 0.001 | 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".