Bibliographic record
Abstract
This research investigates the incorporation of limestone calcined clay cement (LC3), super-sulfated cement (SSC), and calcium aluminate cement (CAC), as different chemical make-up cements with lower CO2 emissions than OPC, in sustainable engineered cementitious composites (ECC) mixtures. Slump flow, compressive and flexural strengths, deflection capacity, ultrasonic pulse velocity (UPV), rapid chloride permeability, and shrinkage behaviors of LC3-, SSC-, and CAC-based ECCs were assessed at different curing ages, while considering the addition of fly ash (FA) at various FA/cement ratios of 0, 0.8, 1.2, and 1.5. In addition, the self-healing ability of these green cements-based ECCs was tested by exploring their recovery after pre-cracking and further water curing. SEM-EDS analyses were also performed to characterize the recovery products related to each cement. The results confirmed the possibility of using LC3, SSC, and CAC in sustainable ECCs, with greater mechanical, durability, and self-healing performances compared to the control OPC-ECC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".