Self-consolidating concrete : rheology, fresh properties and structural behaviour
Bibliographic record
Abstract
Self-consolidating concrete (SCC) is known for its excellent deformability, high resistance to segregation and bleeding and can be obtained by incorporating viscosity modifying agents (VMA). Identifying and proposing a new low-cost VMA, and developing and testing the fresh and mechanical properties of such a concrete are essential. This thesis presents the performance of four new polysaccharide-based VMAs in enhancing the rheological and fresh properties of cement paste, mortar and concrete. An experimental study on the structural properties of two SCC and one normal concrete (NC) mixtures with varying proportions of coarse aggregate content (713-1030 kg/m 3 ) and maximum aggregate size (12 and 19-mm) is presented. Eighteen reinforced concrete beams were tested to study the comparative shear resistance of SCC and NC. Sixteen SCC and NC filled steel tube columns with and without additional steel reinforcement were tested. A design equation for peak load capacity of CFST columns is proposed and validated.
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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 | 0.000 | 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".