Simplified seismic modelling of reinforced concrete flexural members
Bibliographic record
Abstract
The need for simplified models that can accurately represent the behaviour of structures is increasing. Engineers need such models to assess and/or to design structures using pre-specified performance measures. In the current paper, the abilities of a previously developed model for reinforced concrete flexural members are significantly enhanced. The model represents a member by an elastic element and two inelastic end elements. Each inelastic element consists of three concrete and three steel springs. A rational approach to calculate the properties of these springs is developed. The approach includes a simplified method to account for slippage of reinforcing bars. The model allows identification of the localised damage (concrete cracking, reinforcement yielding, concrete crushing or bond slip failure) responsible for any change in the overall performance of a reinforced frame. To illustrate the use of this approach and to validate its predictions, two cantilever columns are modelled and analysed under monotonic and cyclic loadings.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".