Performance evaluation of precast reinforced concrete after early-age carbonation curing
Bibliographic record
Abstract
Early carbonation curing of precast concrete accelerates early strength and promotes carbon dioxide utilization.Reinforced concrete represents the majority of precast concrete products and thus the application of early-age carbonation technology in reinforced concrete curing is able to enhance the carbon dioxide utilization potential by concrete products for emission reduction and performance improvement.This thesis aims to develop a special carbonation process suitable to high slump precast concrete.The performance of both ordinary Portland cement (OPC) concrete and fly ash-OPC concretes were evaluated.Early carbonation behavior was assessed by carbon uptakes, pH values, compressive strength and process shrinkage.The effect of early carbonation curing on cement reaction, pozzolanic reaction and pore structure was also examined to interpret the mechanisms of durability performance including freeze-thaw resistance, chloride penetration and weathering carbonation.It was found that carbonation curing had reduced both pore volume and pore size.Gel pores became dominant which were responsible for the improved resistance to permeation and freeze-thaw damage.Chemically cement reaction was accelerated in the early age by carbonation curing and concrete pH values could be compensated by subsequent re-hydration.It was concluded that the carbonation curing was suited to the precast reinforced concrete with or without fly ash incorporation in order to gain improved early strength, enhanced durability and permanent carbon dioxide sequestration as an added-value for environmental benefit.guidance throughout the past three years.I sincerely appreciate his exclusive contribution of time and ideas which lead me into research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".