Performance evaluation of fresh-to-fresh cast SCC/ECC and SCC/UHPC composites under the coupling effect of freeze-thaw and deicing solution
Bibliographic record
Abstract
This study addresses the research gap in freeze-thaw performance of fresh-to-fresh cast (hot-jointed) composites by examining the effects of freeze-thaw cycles and sodium chloride on self-consolidating concrete (SCC) combined with engineered cementitious composites (ECC) or ultrahigh performance concrete (UHPC). The potential use of hot-joint techniques for integrating ECC and UHPC with SCC to promote the sustainable application of these modern and efficient concretes is sought, while addressing the mechanical and durability limitations of SCC when exposed to freezing temperatures. The impact of fiber reinforcements in tensile ECC and UHPC layers has also been evaluated by comparing polyvinyl alcohol (PVA) and steel fibers. After 150 and 300 saline freeze-thaw cycles, flexural, compressive, and tensile bond strengths were tested. Microstructural degradation was analyzed using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) was employed to detect chloride-bound phases. Results showed that composite systems had superior freeze-thaw resistance compared to mono-SCC. Chloride penetration was observed throughout SCC layers but was significantly reduced at bond layers with ECC and UHPC, especially in the UHPC based composites. PVA were more effective than steel fibers in reducing chloride binding and lowering corrosion risk.
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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 | 0.010 | 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 | 0.001 |
| 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 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".