Mathematical Equations For Developing Ductile Non-Corrosive Reinforced Concrete Walls
Bibliographic record
Abstract
Corrosion of steel reinforcement is reason of many deteriorations in RC structures especially in coastal areas. Thus, the conventional steel rebars should be replaced by other alternatives to mitigate this phenomenon, consequently, enhance the durability of structures. In this article, combined utilization of glass fiber reinforced polymer (GFRP) and stainless-steel (SS) is proposed as a substitute of traditional steel. To provide adequate strength and ductility with acceptable cost, GFRP is utilized as distributed and concentrated reinforcement overall wall, while SS is partially used as concentrated reinforcement in the plastic hinge zones. Pushover analysis is performed on many numbers of walls which included in a comprehensive parametric study. The results of the parametric study are used to develop two design equations for ductile non-corrosive reinforced concrete walls. The proposed design equations estimate the modification factors of both distributed and concentrated reinforcement, which were investigated by studying the performance of RC 15-stories building under lateral and vertical loading.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".