Sustainability, Economy, Efficiency: Parametric Design of Prestressed Slabs for Housing
Bibliographic record
Abstract
Relevant studies reveal that the resistant section of the improperly designed prestressed concrete floor slab reduces adhesion, results in the loss of tensile stress in the steel and concrete, and diminishes shear capacity.Consequently, the service life of the structure decreases.The objective of this work is to analyze the parametric system of the prestressed concrete floor slab for residential floors.The methodology employs static equations to define an efficiency coefficient ξ, which accounts for the static and symmetrical competitiveness of the element, evaluates the position of the centroid v ' pl , and the centroidal inertial I pl , Variables that assess the number of depressions or semicircles n sc , width b , their radii h 2 , thickness of the slab under the depressions h 1 , slab area A pl .and others are considered.It was found that the factorξ for the combinationn sc = 6 y h 1 = 40 mm is clearly superior, with a confidence interval of 10.75 a 11.05.The greater thickness h 1 = 40 mm provides higher values of ξ, indicating an increase in rigidity and structural capacity.It is reported that in projects where structural efficiency is prioritized, the configuration n sc = 6 con h 1 = 40 mm
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".