Permeability, Compaction, and Corrosion Characteristics of Volumetrically Stable BOF Steel Slag-Fly Ash Mixture
Bibliographic record
Abstract
Basic oxygen furnace steel slag (BOFSS) has been widely investigated for its use in both bound and unbound pavement layers. BOFSS particles entail both volumetrically unstable components and heavy metals. In this study, a volumetrically stable mixture that contains 80% BOFSS and 20% FFA by weight (BOFSS20FFA) was produced and tested. Basic characterization tests (i.e., specific gravity, sieve, and hydrometer) were performed on the BOFSS and BOFSS20FFA mixture. Compaction behavior and the permeability of the mixture were assessed. The corrosion potential of the mixture was evaluated through pH and electrical resistivity tests. The results of the leaching tests performed on BOFSS and FFA samples used in this research study were also evaluated. The dry unit weight of BOFSS20FFA was higher than that of BOFSS, corresponding to a lower optimum moisture content. The hydraulic conductivity of BOFSS20FFA was close to fine-grained soils due to the increased fines content and inter-particle cementation. pH measurements and electrical resistivity tests on the samples indicated the relatively high corrosion potential of BOFSS20FFA. The leachate analysis on BOFSS indicated that heavy metal concentrations in the leachate for almost all metal parameters tested (except chromium) were within the acceptable limits of generally accepted local and international drinking water standards. On the other hand, the results obtained for FFA were well above the limits of drinking water standards. These results showcase the importance of FFA selection in the geo-material mixture designs. As the heavy metal concentration depends on various site-dependent factors, pH-dependent advanced laboratory tests and field tests are required to better understand the environmental impacts of using mixtures.
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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".