PROPOSED FORMULATION FOR PREDICTING DEFLECTIONS OF CFRP-RC BEAMS
Bibliographic record
Abstract
This research describes an attempt to conduct analytical investigations on the deflection behavior of Carbon Fiber Reinforced Polymer (CFRP)-reinforced concrete beams.The primary objective of this study is to undertake a comprehensive review of formulation studies grounded in deflection equations.To accomplish this objective, a total of eleven test data points from three groups of researchers were acquired.Then, these data are compared against the deflection predictions from four deflection equations, namely, ACI 440.1R-06,ACI 440.1R-15,Bischoff and Gross, and ISIS Canada.An empirically derived model was proposed to predict the effective moment of inertia for reinforced concrete (RC) beams reinforced with CFRP, based on Branson's equation.Furthermore, to enhance the prediction of the moment-deflection relationship up to the ultimate strength, a nonlinear parameter (k) has been introduced in previous research for FRPs.These parameters were added to the formulation and aimed to mitigate the impact of the cracked moment of inertia on the reinforced concrete member.The accuracy of the novel formulation for analyzing deflections in CFRPreinforced concrete beams was statistically evaluated.In a comparative study employing various design codes, the proposed model exhibited greater agreement with experimental test results.Ultimately, the proposed model demonstrated enhanced accuracy and emerged as a familiar approach for structural engineers to forecast and evaluate the deflection behavior of RC beams reinforced with CFRP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".