CO2 mineralization in the production of sustainable concrete
Bibliographic record
Abstract
As the concrete industry continues to grapple with the challenge of reducing its carbon footprint, CO2 mineralization technologies offer a practical and scalable solution. These technologies enable the integration of CO2 as a valuable raw material, transforming waste emissions into durable mineral compounds during the concrete production process. This study investigates the implementation of CO2 mineralization in fresh concrete, analyzing its effects on key material properties such as strength and durability. Experimental results reveal that the process not only ensures equivalent compressive strength of concrete with a reduced cement content, but also contributes to reductions in embodied carbon compared to traditional methods. Furthermore, the study underscores the role of this approach in supporting the industry's decarbonization efforts, aligning with global sustainability goals. The findings highlight CO2 mineralization as a pivotal step toward the creation of more sustainable construction materials, offering both environmental and economic benefits. These conclusions demonstrate the transformative potential of this technology in advancing the sustainability of concrete production while addressing the pressing demand for eco-friendly construction practices.
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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) | 0.000 | 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 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".