Static Load Behavior of Ferrocement Slabs Reinforced with Recycled Tire Steel Wire
Bibliographic record
Abstract
Ferrocement is extensively utilized in construction as a structural material, given its exceptional mechanical properties and impact strength.This study aimed to analyze the performance of ferrocement that is reinforced with recycled steel wire tires under static loads.This current study a comparative investigation of behavior of compressive strength of ferrocement cubes and flexural behavior of ferrocement panels and behavior of ferrocement panels reinforced with tire Steel wire tires under static loads.Ferrocement slabs sample was (L 500×W 500× t 50mm) in size, and 15 slabs were subjected to static point load.The number of wire mesh layers, which was replaced by recycling tire steel wire as a ratio of the volume of wire mesh, was the main parameter in the current study.The percentage of recycle steel wire tires are 33% and 66% and 99% from of steel wire mesh for reinforcements of ferrocement panels.The results presented, the behavior of panels under static load at ultimate failure and first crack.It showed that ferrocement have 99.0%steel wire tires gave a good performance under static loading which were required to increase the load value to make the first crack and ultimate failure, and causing late of the failure and less deflection.
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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) | 0.002 | 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".