Bond Loss between Metakaolin-Incorporated Structural Lightweight Self-Consolidating Concrete and Corroded Steel Reinforcement
Bibliographic record
Abstract
There has been inadequate investigation into the effect of steel reinforcement corrosion on the bond strength between steel rebar and structural self-consolidating lightweight concrete (SCLWC). This study investigates the physical and mechanical properties of developed SCLWC mixtures and their effectiveness in reinforcement corrosion prevention. Cylindrical pullout specimens made of SCLWC mixtures [incorporating 2–4% of metakolin (MK) and 10–12% of fly ash by weight of total cementitious materials] with a centrally embedded 20-mm-diameter reinforcing bar were used to study the effect of corrosive environment on bond behavior. A 5% NaCl solution was used as a corrosive environment and 0.05 A of direct current was applied for accelerated corrosion during the duration of testing. For noncorroded specimens, the highest bond strength was exhibited by specimen made of SCLWC with 0% MK. The specimens made of SCLWC with 4% MK showed highest bond strength (both normalized and unnormalized) when exposed to accelerated corrosion for a theoretical reinforcement mass loss of 2 and 5%. Besides, specimens with 4% MK showed highest resistance against chloride ion penetration.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".