Flexural Strengthening of Reinforced Concrete Beams with Steel-reinforced Polymer Composites: Analytical and Computational Investigations
Bibliographic record
Abstract
This article presents analytical and computational models for reinforced concrete beams strengthened in flexure using an emerging composite material, steel-reinforced polymer (SRP). The SRP composite consists of unidirectional high-carbon steel fabric embedded in a polymeric resin, providing high strength and stiffness at a reasonable cost. The models developed and examined include finite element analysis, strain compatibility analysis, and closed-form equations reported in the literature and design codes. The study focuses on the load—deflection and load—strain responses, strain variation along the SRP sheets, shear stress distributions and concentrations near the cut-off points of SRP sheets, and cracking behavior. In general, the study shows that flexural strength and deflection at service loads can be well predicted using the models. The shear stress concentration near the cut-off points of SRP sheets may be approximated to 10% of the resin tensile strength just prior to SRP delamination. Confining effects by the adequate end-anchorage effectively redistribute the applied stress in the strengthened beam.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".