Analysis of Shear-Critical Reinforced Concrete Plane Frame Elements under Cyclic Loading
Bibliographic record
Abstract
An analytical procedure was recently developed for the nonlinear analysis of reinforced concrete frame structures consisting of beams, columns, and shear walls under monotonic loading. The procedure is distinct from others because it is capable of inherently and accurately considering shear effects and significant second-order mechanisms with a simple modeling process suitable for use in practice. In this study, the procedure is further developed to enable the performance assessment of shear-critical frame structures under general (arbitrary) loading, including the special cases of cyclic and reversed-cyclic loads. Newly developed and implemented formulations are described and applied to 11 previously tested specimens for verification. Important considerations in nonlinear modeling and the limitations of the procedure are also discussed. The procedure is found to accurately simulate the overall experimental behaviors of the specimens examined. Performance measures, such as load and deformation capacities, stiffnesses, energy dissipations, ductilities, failure modes, crack widths, and reinforcement strains, are typically captured well. The procedure exhibits excellent convergence and numerical stability, requiring little computational time.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".